{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "03e7a856",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import defaultdict\n",
    "import csv\n",
    "import glob\n",
    "import math\n",
    "import os\n",
    "import string\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy.stats\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "815e8d07",
   "metadata": {},
   "outputs": [],
   "source": [
    "SIZE = 10\n",
    "SMALL_SIZE = 9\n",
    "TINY = 7\n",
    "mpl.rcdefaults()\n",
    "mpl.rcParams.update({\n",
    "    'text.usetex': True,\n",
    "    'text.latex.preamble': r'\\usepackage{amsmath,bm,times}',\n",
    "    'font.family': 'Times New Roman',\n",
    "    'font.size': SIZE,\n",
    "    'axes.titlesize': SIZE,\n",
    "    'axes.labelsize': SMALL_SIZE,\n",
    "    'ytick.labelsize': TINY,\n",
    "    'xtick.labelsize': TINY,\n",
    "    'figure.titlesize': SIZE,\n",
    "    'legend.fontsize': SMALL_SIZE,\n",
    "    'svg.fonttype': 'none'\n",
    "})\n",
    "\n",
    "\n",
    "# Create an array with the colors you want to use\n",
    "colors = [\n",
    "#     \"#264653\",\n",
    "    \"#2a9d8f\",\n",
    "    \"#e9c46a\",\n",
    "    \"#f4a261\",\n",
    "#     \"#e76f51\"\n",
    "]\n",
    "# Set your custom color palette\n",
    "sns.set_palette(sns.color_palette(colors))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "9270f6d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_name_map = {\n",
    "    'boolq': 'BoolQ',\n",
    "    'cb-inv': 'CB',\n",
    "#     'mnli': 'MNLI',\n",
    "    'mnli-inv': 'MNLI-m',\n",
    "#     'mnli-mm': 'MNLI',\n",
    "    'mnli-mm-inv': 'MNLI-mm',\n",
    "    'mrpc': 'MRPC',\n",
    "    'qnli': 'QNLI',\n",
    "    'qqp': 'QQP',\n",
    "    'rte': 'RTE',\n",
    "    'rte-inv': 'RTE',\n",
    "    'sst-2': 'SST-2',\n",
    "    'wic': 'WiC',\n",
    "    'wnli': 'WNLI'\n",
    "\n",
    "}\n",
    "\n",
    "metric_name_map = {\n",
    "    'accuracy': 'Accuracy',\n",
    "    'f1': '$F_1$'\n",
    "}\n",
    "\n",
    "finetune_name_map = {\n",
    "    'all': 'All',\n",
    "    'bitfit': 'BitFit'\n",
    "}\n",
    "\n",
    "PROPS = {\n",
    "    'boxprops':{'edgecolor':'black', 'linewidth': 1.0},\n",
    "    'medianprops':{'color':'black', 'linewidth': 1.0},\n",
    "    'whiskerprops':{'color':'black', 'linewidth': 1.0},\n",
    "    'capprops':{'color':'black', 'linewidth': 1.0},\n",
    "    'meanprops':{\n",
    "        \"marker\": \"o\",\n",
    "        \"markerfacecolor\": \"white\",\n",
    "        \"markeredgecolor\": \"black\",\n",
    "        \"linewidth\": 1.0,\n",
    "        \"markersize\": 1.0\n",
    "    },\n",
    "    'flierprops': {\n",
    "        \"markerfacecolor\": \"black\",\n",
    "        \"markeredgecolor\": \"black\",\n",
    "        \"linewidth\": 1.0,\n",
    "        \"markersize\": 2.5\n",
    "    }\n",
    "}\n",
    "\n",
    "def plot_no_trigger_results(dataset, finetune_modes, root='crossval-results', **kwargs):\n",
    "    path = '{root}/{dataset}_model_roberta_initial-trigger_{initial_trigger}_finetune-mode_{finetune_mode}/best_model_scores.csv'\n",
    "    dfs = []\n",
    "    metric = 'f1' if dataset in ['cb', 'mrpc', 'qqp'] else 'accuracy'\n",
    "    for finetune_mode in finetune_modes:\n",
    "        suffix = '' if finetune_mode not in ['bitfit','layernorm'] else '+trigger'\n",
    "        \n",
    "        try:\n",
    "            manual_trigger = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='true', finetune_mode=finetune_mode+suffix))\n",
    "            manual_trigger['trigger'] = 'Manual Pattern'\n",
    "            manual_trigger['finetune_mode'] = finetune_name_map[finetune_mode]\n",
    "            dfs.append(manual_trigger)\n",
    "        except:\n",
    "            pass\n",
    "        \n",
    "\n",
    "        try:\n",
    "            no_trigger = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode=finetune_mode+'-no-trigger'))\n",
    "            no_trigger['trigger'] = 'Trivial Pattern'\n",
    "            no_trigger['finetune_mode'] = finetune_name_map[finetune_mode]\n",
    "            dfs.append(no_trigger)\n",
    "        except Exception as e:\n",
    "            print(e)\n",
    "            pass\n",
    "\n",
    "#         try:\n",
    "#             random_trigger = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode=finetune_mode+suffix))\n",
    "#             random_trigger['trigger'] = 'Random Init.'\n",
    "#             random_trigger['finetune_mode'] = finetune_name_map[finetune_mode]\n",
    "#             dfs.append(random_trigger)\n",
    "#         except:\n",
    "#             pass\n",
    "\n",
    "#         try:\n",
    "#             no_trigger_w_sep = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode=finetune_mode+'-no-trigger-sep'))\n",
    "#             no_trigger_w_sep['trigger'] = 'No Trigger w/ [SEP]'\n",
    "#             no_trigger_w_sep['finetune_mode'] = finetune_mode\n",
    "#             dfs.append(no_trigger_w_sep)\n",
    "#         except:\n",
    "#             pass\n",
    "\n",
    "#         try:\n",
    "#             no_trigger_w_sep = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode=finetune_mode+'-20-token'))\n",
    "#             no_trigger_w_sep['trigger'] = 'Random Init. (Big)'\n",
    "#             no_trigger_w_sep['finetune_mode'] = finetune_name_map[finetune_mode]\n",
    "#             dfs.append(no_trigger_w_sep)\n",
    "#         except:\n",
    "#             pass\n",
    "        \n",
    "#         try:\n",
    "#             no_trigger_w_sep = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode=finetune_mode+'-20-token-sep'))\n",
    "#             no_trigger_w_sep['trigger'] = 'Big Trigger w/ [SEP]'\n",
    "#             no_trigger_w_sep['finetune_mode'] = finetune_mode\n",
    "#             dfs.append(no_trigger_w_sep)\n",
    "#         except:\n",
    "#             pass\n",
    "    try:\n",
    "        cls = pd.read_csv(path.format(root=root, dataset=dataset, initial_trigger='false', finetune_mode='cls'))\n",
    "        cls['trigger'] = 'Std. Fine-tuning'\n",
    "        cls['finetune_mode'] = finetune_name_map['all']\n",
    "        dfs.append(cls)\n",
    "    except:\n",
    "        pass\n",
    "\n",
    "    df = pd.concat(dfs)\n",
    "    df[metric] *= 100\n",
    "    g = sns.boxplot(\n",
    "        data=df,\n",
    "        x='finetune_mode',\n",
    "        y=metric,\n",
    "        hue='trigger',\n",
    "        showmeans=True,\n",
    "        **PROPS,\n",
    "        **kwargs,\n",
    "    )\n",
    "    g.set(title=dataset_name_map[dataset], ylabel=metric_name_map[metric])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e950a310",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x675 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datasets = [\n",
    "    'boolq',\n",
    "    'cb-inv',\n",
    "#     'mnli',\n",
    "    'mnli-inv',\n",
    "#     'mnli-mm',\n",
    "    'mnli-mm-inv',\n",
    "    'mrpc',\n",
    "    'qnli',\n",
    "    'qqp',\n",
    "#     'rte',\n",
    "    'rte-inv',\n",
    "    'sst-2',\n",
    "    'wic',\n",
    "#     'wnli'\n",
    "]\n",
    "fig, axes = plt.subplots(nrows=math.ceil(len(datasets)/5), ncols=5, figsize=(7.0, 2.25), dpi=300)\n",
    "axes = np.ravel(axes)\n",
    "for i, dataset in enumerate(datasets):\n",
    "    try:\n",
    "        plot_no_trigger_results(dataset, ['all', 'bitfit'], 'crossval-results', ax=axes[i])\n",
    "    except Exception as e:\n",
    "        print(e)\n",
    "        continue\n",
    "\n",
    "\n",
    "for ax in axes:\n",
    "    try:\n",
    "        ax.get_legend().remove()\n",
    "        ax.get_xaxis().label.set_visible(False)\n",
    "    except:\n",
    "        pass\n",
    "    \n",
    "# axes[-2].legend(\n",
    "#     loc='upper center',\n",
    "#     bbox_to_anchor=(0.45, -0.5),\n",
    "#     fancybox=True,\n",
    "#     shadow=False,\n",
    "#     ncol=2\n",
    "# )\n",
    "# fig.suptitle('RoBERTa Results')\n",
    "\n",
    "\n",
    "handles, labels = axes[-1].get_legend_handles_labels()\n",
    "for h in handles:\n",
    "    h.set_edgecolor(None)\n",
    "    \n",
    "legend = fig.legend(\n",
    "    handles,\n",
    "    labels,\n",
    "    loc='lower center',\n",
    "    ncol=3,\n",
    "    bbox_to_anchor=(0.5, -0.2),\n",
    ")\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(0.0)\n",
    "frame.set_facecolor('#EEE')\n",
    "\n",
    "\n",
    "plt.subplots_adjust(hspace=0.75, wspace=0.75)\n",
    "plt.savefig('boxplot-null-all.pdf', bbox_inches='tight')\n",
    "# plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "83e13f4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rlogan/miniconda3/envs/autoprompt/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = {\n",
    "    'hmp': (54.17, 66.67),\n",
    "    'pmh': (57.98, 79.17),\n",
    "    'mph': (48.08, 63.54),\n",
    "    'mhp': (48.62, 60.42),\n",
    "    'phm': (54.30, 66.67),\n",
    "    'hpm': (45.56, 60.42)\n",
    "}\n",
    "x = [e[0] for e in corr.values()]\n",
    "y = [e[1] for e in corr.values()]\n",
    "\n",
    "from scipy import stats\n",
    "def r2(x, y):\n",
    "    return stats.pearsonr(x, y)[0] ** 2\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(3,1), dpi=300)\n",
    "sns.regplot(y, x, ax=ax, ci=None, scatter_kws={'color': colors[1], 'alpha': 1.0})\n",
    "ax.set_xlim(60,80)\n",
    "ax.text(61, 56.5, f'$R^2 = {100*r2(x, y):0.2f}$')\n",
    "ax.set_xlabel('Dev')\n",
    "ax.set_ylabel('Test')\n",
    "\n",
    "plt.savefig('fig/mnli-rsquared.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0785c8df",
   "metadata": {},
   "source": [
    "# Win Computation Illustration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "77f94b20",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_scores(fname, key):\n",
    "    scores = []\n",
    "    with open(fname, 'r') as f:\n",
    "        reader = csv.DictReader(f)\n",
    "        for line in reader:\n",
    "            scores.append(float(line[key]))\n",
    "    return np.array(scores)\n",
    "\n",
    "\n",
    "def p_matrix(\n",
    "    inputs,\n",
    "    key,\n",
    "    invert_yaxis=False\n",
    "):\n",
    "    n = len(inputs)\n",
    "    all_scores = {inp: get_scores(inp, key=key) for inp in inputs}\n",
    "    diffs = np.zeros((n, n))\n",
    "    p_values = np.zeros((n, n))\n",
    "    for i, row in enumerate(inputs):\n",
    "        for j, col in enumerate(inputs):\n",
    "            diffs[i][j] = all_scores[row].mean() - all_scores[col].mean()\n",
    "            _, p_value = scipy.stats.ttest_ind(\n",
    "                all_scores[row],\n",
    "                all_scores[col],\n",
    "                alternative='greater',\n",
    "                equal_var=False\n",
    "            )\n",
    "            p_values[i][j] = p_value\n",
    "    if invert_yaxis:\n",
    "        diffs = diffs[::-1,:]\n",
    "        p_values = p_values[::-1,:]\n",
    "    return diffs, p_values\n",
    "\n",
    "\n",
    "DEFAULT_IMSHOW_KWARGS = {\n",
    "    'cmap': mpl.colors.ListedColormap([colors[0], colors[1], '#000']),\n",
    "    'edgecolors': 'k'\n",
    "}\n",
    "\n",
    "DEFAULT_TEXT_KWARGS = {\n",
    "    'va': 'center',\n",
    "    'ha': 'center',\n",
    "}\n",
    "\n",
    "\n",
    "def plot_wins(\n",
    "    ax,\n",
    "    inputs,\n",
    "    shortlabs,\n",
    "    key,\n",
    "    p_cutoff=0.05,\n",
    "    imshow_kwargs=DEFAULT_IMSHOW_KWARGS,\n",
    "    text_kwargs=DEFAULT_TEXT_KWARGS,\n",
    "    add_wins=False\n",
    "):\n",
    "    diffs, p_values = p_matrix(inputs, key=key, invert_yaxis=True)\n",
    "    color = 1*(p_values < p_cutoff)\n",
    "    color[np.eye(color.shape[0], dtype=np.bool)[:,::-1]] = 2\n",
    "    ax.pcolor(color, **imshow_kwargs)\n",
    "    \n",
    "    # Plot values over colored cells\n",
    "    x_ = np.arange(p_values.shape[0])\n",
    "    y_ = np.arange(p_values.shape[1])\n",
    "    x, y = np.meshgrid(x_, y_)\n",
    "    for i, j in zip(x.flatten(), y.flatten()):\n",
    "        if i == (p_values.shape[1] - j - 1):\n",
    "            continue\n",
    "        ax.text(j + 0.5, i + 0.666, f\"{100*diffs[i,j]:+0.1f}\", fontsize=TINY, **text_kwargs)\n",
    "        ax.text(j + 0.5, i + 0.333, f\"({p_values[i,j]:0.2f})\", fontsize=TINY - 2, **text_kwargs)\n",
    "    \n",
    "    # Add a \"wins column\"\n",
    "    if add_wins:\n",
    "        wins = (p_values < p_cutoff).sum(axis=-1)\n",
    "        for i in (y.flatten()):\n",
    "            ax.text(x_[-1] + 1.75, i + 0.5, f\"{wins[i]}\", fontsize=TINY, **text_kwargs)\n",
    "        \n",
    "    # Cleanup plot\n",
    "    ax.set_xticks(x_ + 0.5)\n",
    "    ax.set_xticklabels([shortlabs[i] for i in range(len(x_))])\n",
    "    ax.set_yticks(y_ + 0.5)\n",
    "    ax.set_yticklabels([shortlabs[i] for i in reversed(range(len(y_)))])\n",
    "    ax.tick_params(\n",
    "        top=False,\n",
    "        bottom=False,\n",
    "        left=False,\n",
    "        right=False,\n",
    "        labelbottom=False,\n",
    "        labeltop=True,\n",
    "    )\n",
    "    ax.xaxis.set_label_position('top')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a492252e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlIAAAJBCAYAAACNnVtGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAC4jAAAuIwF4pT92AACilElEQVR4nOz9f1RU170//j+Vym/5ESB+Q8BRaNBirj9Ae69pl5gISe076nt1MXrXTWOyaorRZdJaE017NX+ot40mNu29RqKNfSek9t04rPeqYq9JQeO4Pkt6K/jrhqnQMmUCkqUD8kNgAC/y/WNyjjPMmeGcM2fmnIHnYy2XMHPOPns2e855nb332XvK6OjoKIiIiIhIsal6Z4CIiIgoUjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSE0yNTU1MJvNSE1NxZQpU7z+FRYWwmw2o7u72+/+drsdO3bsQGFhoZhGamoqcnNzYTabceTIEdjtdlRWVqKkpCR8H0xjlZWVfstJ+JeamorCwkKUlJTgyJEjfsvtyJEjKCkp8ZtOoH+FhYXh/eAqaF1WhYWFXvuOV4/sdrtk+RYWFqKysjIEnzg0ampqxq0nQjnu2LEDdrvda/+JXs88aVFWk7WeBVtPKisrVe3r+W/CGaVJKyUlZRTAKIDRsrKygNt2dXWNlpaWituXlpaOWiyW0ebm5tH6+vrRw4cPe70PYLSgoCBMnyS0PMvp8OHDo6Oj7vIQPrfn+9u3b/ebzuHDh73Kp7m5ebSrq8vrn1Ce+/bti8gy1KqshM8vZ1tBV1eXuL3FYtHsM4WbxWKRrCdCGebk5Hh9D8eaDPVMEGxZTeZ6praeCPulpKSM7tu3b7S6unq0vr5+tLm5ebS4uFhMb9++faP19fWj9fX1o9XV1aPbt28X3+vq6tL742uKgdQk5lnpA50Q6uvrxQtgTk7OaHNzs99tq6urxZNXTk5OKLIddgUFBWI51dfXj7vNvn37JLdpbm4Wt5FTNvv27Yu4C5xWZTU6Oup1EZR70RKC+Ugmp56UlZX5vWGZDPVMEGxZjY6ynimtJ0IgJXUd8CxrqXIUAt9A15BIxK69SSwlJUXyZ092ux0rVqxAd3c3UlJSUF9fj5ycHL9pFhcXo7q6GgBw+/ZtLbOrmwceeGDcbc6cOSP+/LOf/UyT45aVlQXsZjUircvKs16azWafLhqp4weqn5FAThkePnxY/JyXLl0KqmspEuuZQKuymoz1TCmhnnR3d6OsrEzV5y8tLfV7rYlkDKQoIM8xUxaLRdaXICcnB4cPHw5txgwmJSVFLJvu7m7JE7Gck/7YNC0WixbZMxQ5ZSX48Y9/jOLiYvH3kpKSgBd9z7QnOs9yEW5eANYzKf7KSjAZ65naepKSkgKz2az6uGVlZar3NSoGUuRXZWUlLl26BMAdHHmeaMYzEb8s4wnFHWpBQYHmaRqB3LISTt7C9na7PaiT+ESSm5sr/jxeC8p4Jmo9E4xXVqxn8hQUFKCsrEzRtWCsffv2TbjWPAZS5NdHH30k/lxaWqp4/4l+lzuWEHQCwQdVkfYUlVJKyiolJQXV1dViC0BNTQ127NgRyuxFhObmZvFntfVtotczgZyyYj3zb7LUE7UYSJFfnmMJlixZonj/YO5aIs3+/fvFn7dv3x5UWuN1d0U6NWWVk5PjFZjv378/oh45D4W6ujrxZzWtJxO9nnmSW1asZ74mUz1Ri4EUSRo7PmCiNcVqxW63Y+PGjeKda1lZGfbt2xdUehO1SyHYsiouLvYae2c2m71atiaTI0eOiJ+9uLhY8U3LRK5nYyktK9az+yZTPQnGV/TOABnTRHniTmv+mriFO1m5Y03sdnvAiekifSAroF1ZeSorK0N9fT2OHDkCwH2Rq6+vnxDlNR6hZeBnP/uZ2EpSXFwcsAt9MtQzKWrKytNkq2eTtZ5ohYEUSRr7RAcDKzfPAam3b9/GpUuX8NFHH+HSpUsoLCwU72bHa8HLycnxeXqou7sbt2/flpyJORJpVVZjHT58GHa7HTU1NeIds9STWBOBvwtcaWkp1q1bN+7YxclQzwTBltVYk6meTaZ6EgoMpEjS2DuQSJ1nRms5OTleLSnFxcXYvn27uGRFTU0NcnNzUV9fP26Li78A4syZM5g9e7am+daDlmU1lsViQWFhoXih27FjR1BdqkaVk5OD+vp63L59Gw888ICqloGJXs8EWpTVWJOlngGTp56EAsdIkV+eF7eJeiemleLiYq8TbDDjClJSUibsyRrQpqyEJ6wEE3lQcEpKCnJycjTvXpmI9UzrsppM9cyfiVhPtMZAivxat26d+PPx48d1zElk8BzEarfbg2rFm+jzcGlRVmO7IybzoGC1Jno90wLrGevJeBhIkV/bt2/3moFaGHhJ8nBcmXz+ymq8AGts61ZNTY2W2aJJgvWMgsFAigL61a9+Jf6sdNChnDWrJhLPk6vQxeCJgdV945WVEtu3b+cdswfWs9CYaPUsFPVkstY9BlKTmOddmL87stLSUnFOle7ubhQWFo47RkAYRLxu3boJMf+UnJNDd3e31wK8k3VMgZZlZbfb0dnZKeu4hw8fnjDLnHiW4WS9MMmlRVlN1npGGhqlSSslJWUUwCiA0bKysoDbVldXjxYUFIjbFxQUjG7fvn3UYrGMVldXj1osltHt27eP5uTkjBYUFIzW19eH6VOEnmc5bd++fbS5uXm0q6trtLm5ebS6unp0+/btPttIOXz4sLgNgNGurq7wfpAw0KqsLBbLKIDRlJQU2cfu6uoaTUlJGS0oKNDq4+hC+Oxq68lkqGeCYMtqMtezUNQTJdeUiYSB1CRTXV09WlZWNpqTk+P1JRKCo7KysoBfKM/9hS+NcFLZvn37hAmghM/peWLw9y8nJ2e0uLhYDBzGOnz48GhxcbHPfikpKaOlpaWj1dXVOnxC7YS6rIRyknOib25uHi0uLg7Bpwy96urqgPXEYrEE3H+i1zNPoSiryVLPtK4n9fX1o6WlpX6vKXLLNJJNGR0dHVXaikVEREREHCNFREREpBoDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFT6it4ZILfu7m5YrVbx9+zsbMTExOiYIyIiosgwNDSE1tZW8feioiKkpKSE5dgMpAzCarXif//v/613NoiIiCLe73//e6xZsyYsx2LXHhEREZFKDKSIiIiIVGLXnkFkZ2frnYWIlfzYEqR963G9sxFR7K/vx+x/3YopMdP0zkrEaP8//xcxD/3/WNcUYl1Trv3//F+smhOPLf+ySO+sRIy/t/Xg+Z+cFn8P5zWVgZRBcGC5el9JTEDsww/pnY2IE5M5A1NjWe/kmhoTw7qmEuuaMlNjYvBAcizm5jygd1YiVjivqezaIyIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiopAZdnbonQUiopDizOZEYTDs7EB0RnrEpBusLusFdJw+i9iZWcje/LysfTpOn0HvxSsAgGFnJ6Iz0pBatBSpRY8FlZfeuivostbC1dIKAIjOSEP6t1cgafHCoNINJaP+XY3M6GU2MuBCv63R0PWO1GEgReRHl/UCeuuuihfguFnZSC1aquhEqCag0DPdYAn5uuvsBADEzswad5+RARccbx0CAJhe2Yyo+DgA7sDqiwoLeuuuwrRtk6r82HcfwKCjDbGmLERnpGHQ0YZBRxvayj/A9MIrhio7QNnf9fpLP8G9AZesdPOPvi07D6FKN1TUfBe0+G5LcTla8ffdP/f7/sxtLwaVfjhVfdqMihMN6O4dEl9bMDcDuzYtRfJ05cuv5H3rKHr6hsbfEMDN/2+z4vT1xECKaIyRARfayt9Hv63J6/V+WxP6bU1IyK8d98KuJqCQI1TpaqHP1ojYWdkwbXsRf3vt32Tv53jrEAYdbZj9+o/EIAoA0leuwLCzE93WWjgOlCsOphwHyhE7Kxs5r28TX/P8296pv4o+WyMS8+coSjcUlP5de+uuyA52phcukJ2PUKUbCmqD9mC/24F0/OGM3/emZaQZoq7JUfI9C3r6hnD87VWY9XAyAKDnzhBe2PUJ8lYeRfVRM+bPyZCdXtWnzbKDqFXLc1XlWU8MpIjGEFpHZm57EdEZaV82yTfhVuUpAO6T7k1LFWaYV0nurzagGE+o0tWK50ViWkaaeIELpMt6AYOONkzLSEOcyXe19vSVT6DbWot+WxN6667IbjFwOVoROzPL528UFR8H07ZNsG3YCgAYdLTpfnFT83ftstYiIT8PD5Y+7bc7q8t6AbcqTyH56wtl5yVU6WotmKAdUP/dDmTY2YE79Vcxc9uLiEqI93lfqn4b0Qs7P8G1Jieqj5rFIAoAkqfH4L09TyFv5VGU/uAkmj7eIDvNihMNWLY4C7s2LYUpM0lymw9P2rCnvBZrVnw16M8QbgykiDx0WS8AgFcrBuA+CSYtXiCetDs/Puv3ZKsmoJAjVOmGQlR8HO7K2K7LWgvAPW5JSnRGuvhZO/7zjOxAaqR/IODFMNaUhUFHm6y0Qk3p33XY2YGR/gGfOjqW0Ooit8xClW4oqA3ageC+24F0nD6LlKKlugfmwao61wwAki1OydNjMD8vA9eanLjW6JTVKtVyowfdvUOo/rU54HbWi+5u1lWPR16LFJ/aI/LQW3cVWZuek3wvOiMdad96Qvzd5WgdNz3PriothSrdcBOCmWl+AingfpeNksBnvIvZ8JcX3mAHsmtNzt81KiEBplcCjyERWlqUdL+FKt1Qk/td0Pq77WlkwIVuay3iTMbpavdUcaIBB49dRs+dwN1rLTd6JH8ORmpSLCp/uTrgNj13hnC+ri0iu/UABlJEXhLy8wI++ZMwLy+MuZnYRjzG4oz0DfjdLirxfjeJ0gucFGEc0MxtL0ZkQBoVHzduvnsvXgYARd1voUrXKEL53e74Qw0A4IsKC2wbtsK++wBuWqoMM/3Hhyfc3WZdvYMBt0tNihV/fvVNq8/7PXeGcK3JieTEGNljpJKnx4w7OP3E2b8BQER26wEMpIi8pK9cIXtbIz9qHQk8L9p3O/x3zUTF3d9upN9/wCVHn60R7R8cx8xtL0Z8F0wgQpep1t1voUo3HEL53e78+KzX74OONnR+fBZ/e+3f0F5xXFFaekqeHoNnV+cDAM7XteGFnZ94vf/CLvfvv9rzpKbH/fCEDUBkdusBHCNFpIgwFiMhPy8iWzOMRhirNOhow8iAS7JMPVukpAbxyuFytKLjD2dwp/4qAODzA+8i7VtPqBoLY3QjAy4MOtqQkK9t62mo0jWKYL7bc/7jp3C1fI67zk70NTSJ9QwAuq21uOvsDOppwHB6a/tyONp7cb6uDVXnmlHyPQt2bvon7C3/EwDgvz56xmsQerCEVq5li43ZLSoHW6SIFOitc58g01Y+Mc6WJEf6t++3EtysrJLcxvX3+915aoLXPlsjOv5wBvdcLq+xWJ0fn8VNi/QxI5kwqDq1aGlEpGsUwXy3o+LjkJg/B6lFjyF78/OY8x8/xYOlT4vvC08DRgrLL1aL45WuNTmxdqs779W/NmsaRAHup/UAYP2aeZqmG04MpIhkGnZ2oN/WNCGezDGKpMULxRaObmst2iuOu58eG3Chz9YIx4Fy9P/l/pw/arpTE/PnIHvz8zBt24RH3tjpNeC48+OzhhnHohVhdnitu99Cla4RaP3djoqPQ/rKFZj9+o8w9cvgf2z3n9G9t/cpr6kKrjU53fNLjTNgXakTZ9zjoyK1Ww9gIEUk2xcVFsSaspC5fq3eWZlQTNs24cHSpzE1Pg7d1lr87bV/Q+NLP0Hn6bN4aP39R6a1elIsafFCr2DKKNMgaIHdeuqE6rsdZ8pG5nP30+yzNWqafqi03OhByfcsWLY4C8ffXoXkRPdg8WtNTiwx/0azJ/omQrcewDFSRLJ0WS9g2Nk57hw7E0nroff9DgJ/6Lm1mk4wmL5yBdJXrsDIgAsj/f1iy1OfrVGcaTt1uXZdSkmLF2JaxincdXbC9ffWCdPKwm495UL93U5avBBT44/j3oBL9qzxavTcGULeyqMBt/nHdcckX9+1aSm2PLMIgDuIenJDJRbMzcBb25cDAC5avott+86h6px7hvK1W6vw5+PfDTrPE6FbD2AgRZNEMEFBn60RHafPwhShj8urNfh5m9+JDoN9es6fsY/gd552d4fEmrI0705NyM9Dt7XWazC7FsIZgI4Vqd16epVZuL7bcbOyfZalCQV/s4Y72nsBAMmJMUhJ8p2KICkxWvx57dYq9PQN4c1Xi8TXkqfH4L29T2HPoVoc/O1lONp7sedQLXZtDi6wngjdegADKZok1AYFw84OfFFhgWnbi5NuuoNH3tip6/G7rBfEi4+/iRSDIcxdpXV3lR4BKOCuq6HofgtVup70KDM9vtuBJp4NVvL0GL+tRCXfs+BakxN/PFoacLC49WIrHO29SE6Mkdxu1+aluNbkxPm6NpyvC65LvOVGz4To1gMYSNEkoSYoGHZ2oK38g0kZROnN5WjFFxUWAMBD680hKf/+vzQh1pSleWuHXgGo8NSZ1t1voUrXU7jLLNzf7WFnJ6bGxxl+vb3evuFxt1n1eC7O17XJXoTYn1Pn7AAiv1sP4GBzIknCiTZr03N+T7QjA66IeqQ5nIRZy++5lI8J6bM1wvFWOQB3S1SgZVw6Tp+BbcNWOA6Ue70+7OxAx+kzXrOnj91PSH+i4CSc8oT7u+1ytOKus9Nrqg+j+oc8d3kECpKE2c/n58mb2dyfihMNACK/Ww+IkECqpqYGZrMZqampmDJlite/wsJCmM1mdHd3+93fbrdjx44dKCwsFNNITU1Fbm4uzGYzjhw5ArvdjsrKSpSUlITvg5EhDTs74DjwrjgPzLCzw+dfb90V2HcfQNI4S2UoCSj8BQXBphtuIwMusZtGabfMTUsVPj/wLqIz0jD79R+Ne/EWLvL9tiavaQxuWk7hVuUpNL70EzgOlItLy7gcrWivOI5+WxNyXv+R4Voa1f5dh50duOvslN39JreuKU1XD0rKLJjvtr8yu2mpguNAOXrrrkge84sPjiMhP0/RzOp6mfVwshggHTx2WXIbYXFhqeVcDh67jBnfPATzD08GPE7LjR442nsnRLceECFde8XFxSguLgYApKamikFTWVkZDh8+7He/7u5ufP/730dlZSUAoLS0FD/+8Y9RUFCA7u5u1NXVobq6Ghs3bhT3KSgoCN0HIcMbGXDBvvvnuDfgwucH3g247XjdQkoDirFBQaC7ZbWBSij12Rox6GgTPwfgnlqg9dD7iJudjYT8PMny6rM1orfuKnovXkF0Rpqi5VvSVz6Bm5WnkLRkoVd5zTA/jXsuF1wtrei3NaGt/ANEZ6QhdmYWUouWGrKLJZi/q9LuN7l1LRzdesFQUmbBfrf9lZkwP1S/rQmxpjN4sPRpxM2aiX5bo7tuFi6IqBn0K3+5GiUbLNhTXoukxGivrreDxy7jw5M2bPmXRZItSUIr0/m6NrTc6PE7HmsidesBERJIeVq8eDFqatwLRAZqPbp06RJWrFiB7u5u5OTkoLq6Gjk5OV7bFBQUoKysDDU1Ndi4cSPsdnvAli2a+Oy7D8h+RNnfxUVtQOEvKAg23XBJzJ+DxPw5iu68hRaP9JVPqJrDJ7XoMcmuv+iM9IhZkkOLv6uwb0KQAWiw6YaLmjIL9rvtr8xmbnsRnafPwtXSikFHmxi0J3wtLyLHVwqD1itONODDEzYcPHZZnEfKlJmE6qNmvwsWb3lmEfaW/wmrn8gNOKhdCLgmSovUlNHR0VG9M6GE2WwWW5iqq6vFlipPdrsdhYWF6O7uRkpKCv7+978jJSUlYLp2ux25ublISUlBV1dXKLIeUENDAx599NGwH3ciSHtyOWasW6N3NiKKbcNWzH3nDUyNDbwqO93X8uY7iJuZxbqmEOuaci1vvoNnFyRg90vf0DsrEeO6/TaK1v9O/P2zzz7DvHnhafGKiDFSSnmOmbJYLOMGUQCQk5MTsJuQiIiIaKwJF0hVVlbi0qVLANzBkVSLlT9lZWWhyhYRERFNQBMukProo4/En0tLSxXvb7FYtMwOERERTWATLpASxk8BwJIlSxTvr6QFi4iIiCa3CRVIjX3ibuxTekRERERamlCB1O3bt/XOAhEREU0iEyqQeuCBB7x+Z2BFREREoTShAqmx0xxwck1Sos/W6HdttpuWKq8lSMJl2NkhLm9iRCwzdVhuyrHM1LFebEXPneAWGNZay40eXGt06p0NzUTczObjKSgoEKc/qK6uVvXkHk0+HafPICo+zmdpko7TZ9Dxn2dwb8A17rp6Y7VXHMdIn3vZinsuFx5ab5ac5TjQdtEZ6bhpqcJdZ6fhFo1lmanDclOOZabOwWOXkZQYjaIl3rO8v7L/HLp73cFVT98Q3ny1KOBM5Gr2DbTdrIeTsedQLRztvVy02IjWrVsn/nz8+HEdc0KRouP0GYz0DfgsNeJytCK16DHEzVK+7MpfX9uLkb4BZG9+Htmbn0fayidg3/1zn7tXOdvNMK9Cn60JfbZGdR8wBFhm6rDclGOZqXPw2GV09Qz6rGf39bW/QXfvEN7b+xTe2/sUtjyzCE9uqJTVQiR3Xznb7dq8FNaLreIiyJFswgVS27dvF7v4uru7ceTIEX0zRIbmcrSiy1oruahonCkbUfFxmJaRpihN4Q418/n7QX1i/hxEZ6ShrfwDxdsBwIzSVWgr/8Bv10Y4sczUYbkpxzJT51qjExUnGrBrs/eagUIr0IEdy8XXipZkw5SZhBd2fRIwTbn7KjnGrk1L8f1dfzRc16NSEy6QAoBf/epX4s87duyA3W6Xva/ZbFa0PUW2Lz44rvnK9l3nazEtIw1R8XFeryctWYi7zk7xblbudgAQFR+HpCUL0f7+R9Aby0wdlptyLDN1tu0759MSBQAfnrTBlJmE5One6x6uWfFVONp7A7ZKyd1XyTGSp8dg9RO52LbvnNKPaCgRF0h5DiD3N5i8tLRUXDevu7sbhYWFXhN1SqmpqUFubi7WrVvH+acmCWEF+YT8PM3SdDlacW/AhdiZvquax5rcr3VZa2Vv5ykxPw936q/qMqhWwDJTh+WmHMtMHevFVlxrcmLZYu+8X2t0oqdvCPPzMnz2+Yc895ivihMNkmnK3VfNMYqWZKPqXDNabvTI+HTGFHGBVF1dnfhzdXW13+3KyspQXV2NgoICdHd3w2w2o7CwEDt27EBlZSVqampQWVmJHTt2IDc3Fzt27IDFYuHg9Emkt+4qAHcXgVYGW9x3qVGJ8T7vRSW4X7vr7JS9naeELwfaCvnWA8tMHZabciwzdao+bQYAzJ/jHcxcuX4LAJCSFOOzT2pSLADA0d4rmabcfdUcQwj4Tp2L3J6giAikampqsHHjRuTm5nq1Qh05cgSFhYXYuHGjZOtUcXEx6uvrUV1djbKyMnHMlNlshtlsxs9+9jMA7vX16uvrUVBQEKZPREbQb2vC1DHN9sESxkhExfmmK3QRjPQPyN5O6vV+W5N2GVaIZaYOy005lpk65+vakJzoG8j09g0DgOR7SYnRACA+Zad2XzXHELoAI3nQeURMf1BcXBzUGnjB7k8T00j/gHh3qZWx4ykkjzvgkr2dlOExd8LhxDJTh+WmHMtMne7eIckWISGQCaSnTzqQkrtvMMfw1xoWCSKiRYooFO7JPGEqITxBNOLyPcmKd7keTxqNt91YU+PjfO6Ew4llpg7LTTmWmTo9fUOSLUKmzCTx/bECtSQp2VftMZITY/y2hkUCBlI0aU2Nj9P8ceVo4QTc53syFU6wsbOyZW8nReu7dCVYZuqw3JRjmamTnBgjGcgIQY5UwNLVOwgAWDDXd5C4kn2DOYZUK1qkYCBFk1ZUQrzmd4/RGemYGh+Hwc/bfN4bdLhfS1q8QPZ2Y90bcIkneT2wzNRhuSnHMlMnJUm6dWfWw8lITozBtSbfKQ7+u8n9pKG/Wcbl7qv2GD19Q2IQFokYSNGklZCfh3sa3PGOndE4ddlS3HV2+txN99uaMC0jTVzmQu52AmE7qUeyw4Vlpg7LTTmWmTrLFmf5HYf07Op8ONp7fSbAtF5shSkzyWspmbGDv+Xuq+QYAMTtpKZMiBQMpGjSEu4ox1t0VKp5X9BlvYDPD7yL9or7yxHNMK/CtIw0r8n5+myN6Lc1IWvTc4q3E7haPnfnW+GaYlpimanDclOOZaaO0OIjNbnmrs1LYcpM8poA03qxFefr2vDenqfE1ypONGDt1iq8sv+c4n3lbicQpkxYs+KrSj+qYUTEU3tEoZCYPwexpiz025ok56pxOVrR++cruFPvnhfmVuUpJC1e4LXmV+ysbEyNj0Ocyfsu9JE3dqK94jhaD72PqMR43HV2YvbrP/I5jtztAKC/oQmxpixN59VRimWmDstNOZaZOkVLsjE/LwPn69p85pICgD8f/y5e2X8OL+z8BClJMXC096L6qNlr24VzH0RyYozP/nL2VbIdAJy/2Ib5eRmS70WKKaOjo6N6Z4KAhoYGPProo3pnIyKlPbkcM9atUbWvy9GKtvIP8MgbOzXOlfauv/QTmF7ZpMmJ2rZhK+a+8wamxiof4DlZy6zlzXcQNzOLdU0h1jXlWt58B88uSMDul76hav9rjU68sOsT/Pn4d4POS6jlfesoKn+5OuhA6rr9NorW/078/bPPPsO8eb7L5IQCu/ZoUoszZSO1aCm6rBf0zkpANy1VSP/2Ct3vdgGWmVosN+VYZurMn5OB9Wvm+V3yxSj2HKrFy88WRHRrFMBAigjpK1fA5WjzGZRqFMJFJH3lCp1zch/LTB2Wm3IsM3W2PLMI1xqdhp0xXAjytjyzSOecBI+BFBGAzPVrJZ/Q0duwswPTMtIww7xK76z4YJmpw3JTjmWmzlvbl0s+Qae3lhs9MGUmYdfmpXpnRRMcbE70Jc9BqkYRnZGO6Ix0vbPhF8tMHZabciwzddavCc84ISVmPZyMWQ8n650NzbBFioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilb6idwaIgtXf1Ixb/+8Pemcj4jhPfoIpX4nSOxsR4+6tTtwbHGJdU4F1TZm7tzrxX1d78dPDf9I7KxGjs9ul27EZSBnUo19NQ1ws/zzjaWjuxEBLKwZbWvXOSsQxtTYgauoUvbMRMRpcdxA74sJsx7DeWYkoHWBdU6rBdQeff/EVXLh8Q++sRAzX4P/odmxeqQ3qnddLMDfnAb2zYXjfefn3uHD5C4yOjuqdlYhT+Ys1SIifpnc2IsZ3Xv49Hn0kA7tf+obeWYkoM755iHVNIdY15a7bb6No/e90OTbHSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCpxrT0KSsuNHsx6ODli0iXj4t+cJpprjU7Mn5Ohdzb8qjjRgKpPm3H1uhMAsGBuBtavmYdVj+eOu+/BY5dx4szfAACO9l6YMpPw7Jp8rF8zL6g8hSrdUGIgNQkF8+XxTOPgscuYn5eB9/Y+pWneQpEuGZfWf/OqT5tRcaIB3b1D4msL5mZg16alSJ4eE3T6ehI+m/DdNWUm4eVnCxR9d+X6+trfwJSZBMsvVmuedriFq04I59bu3iEsmJsRkr+LFnruDOGFXZ/gfF2b1+vn69pwvq4NyxZn+f2799wZQukPTgIAKn+5Wiy/g8cu49U3raj6tFlVnQlVuuHAQGoSCebLIxAueo72XgDA/Dxt7rZClS4ZVyj+5iXfs6CnbwjH314ltm4J9T5v5VFUHzUbuoUgkJLvWXCtyYn5eRkwZSbhWpMT15qceGHXJ1i1PFfTG48Xdn4itgZEunDUiYPHLmNPeS2SE2NwYMdywwZQAiFgOf72Kpgyk9DbN4zzdW3YU14LwH1N2HOoFrs2L5Xc91qTE9VHzV5B6JZnFqHlRg8+PGmD+YcnFQc9oUo3HDhGahIp/cFJdPe6Tyj/9dEzqD5qxq5N978owpfHH+vFViyc+yCOv71K03yFKl0yrlD8zV/Y+QmuNTnx3p6nvLoIk6fH4L097iBDuIBEGvMPT2LB3Azc/P82o/rXZlT/2oym0xuwbHEWAKDqXDOsF1s1OVbFiQZUnWvWJC29haNOmH94EnvKa7FscRYuWr5r+CCq4kQDAKD612YULcnGrIeTMX9OBrY8swj/9dEz4nYHf3tZct9rTU6YMpMkg88tzywC4L6WVH0qvw6FKt1wYSA1SQTz5REULcnG/DkZmPVwsqZ3qqFKl4wrFH9z4eIvdSJOnh6D+XkZ6OkbwrVGpybHC5drje5WqLe2L/d6PXl6jNfd+X83dQR9rJYbPTh47DKeXZ0fdFpGEMo60XNnCF9f+xucr2vD/LwMWH6xWteuY6GFt+fOUMDtqj5txq/2PCn53qyHk7HlXxaJv48tlw9P2ADA73fW8/v87x9ekp33UKUbLgykIlw4vjxSkhNDc8IIVboUWnLroRQt/uYtN3okfzYyuWXW1Tso2cUi0LIbfO3WKry35ylDfw/llluo60TpD07C0d6L5MQYVP5S/+6mD0/YsKe8Fl29gwG3E26k/Vm2JMvve9ea7o/N80eoj8K2coQq3XBhIBXhwvHlIRqP3HoYKqlJseLPr75p9Xm/584QrjU5kZwYY5gxUkq+u4EIY8yCbUV6YecnWL9mnmHKxx+55RbKOnHw2GXxgn5gx/KIeohB6CaTwzOw8QxcPQftj5WSdL8s5NyUhyrdcGIgNUmo/fIQRYLk6TFiIHG+rg0v7PzE6/0Xdrl/99cqG6mqPm0WB1IHczGvONGAnr4hRecJowtlnRAGZQMw/JgopYTAfNniLK865fmzsI0Uz9ZMOTdWoUo3nBhIEQD/Xx6iSPHW9uVeg69LvmeB9WIrSr5nQXfvEP7ro2fGbd2JJNaLrdi27xyOv70qqM8ljIsSBl9PJKGoE56DnVctz0XVp+50Z3zzEGZ88xBKvmcJ+NCO0QmfTyqo9uxe89e1mpp8vyXQs1UwkFClGy4MpAhA4C8PUaSw/GI1Vi13txBca3Ji7dYqAO6HLCbKZJ/XGp14YecnWLu1Cj19Q1i7tSqoC/farVV489WiCXsDpXWdEB7cEdJztPdi56Z/wnt7nsKzq/NxrcmJg7+9jK+v/U3EjNcTtNzowfm6Njy7Ol8ywHz52QLxZ89WOU9X/nJL/DkpMVrWcUOVbrgwkKJxvzxEkeS9vU95dU9fa3K65xJSMRDeaKwXW/HvH15CT9+Q12c8+NvLqoKpF3a656Ca6N97LeuEZ/fT8bdXYcszi1C0JBurHs/FW9uXi1N6ONp7JcdmGdmrb1olnxAVrHo8V2zh+/CkDa/sP4eWGz3ouTME68VWmH940mueQrmBaqjSDRdOyEnjfnmIIkXLjR58f9cfsWxxFlY9novv7/qj+/H2JieWmH+DPx4tNdxJWImiJdleQU/Vp83iWJ+Dv72MZ9fky/58FSca4GjvnfArCGhdJzwnkJXar2hJtrvL71wzzte1abpMTM+dIeStPBpwm39cd0zy9V2blgbscRDqQ/VRc8D0Lb9YjYPHLuPfP7yED0/a8OFJ99QFyxZn4c1Xi/DkhkoAEFsB5QpVuuHAQCoCGOHLQxTKeqiFlhs9eHJDJRbMvX9TcNHyXWzbdw5V55rFbrA/H/9uSPPhKdRlturxXLy35ykxmPrvpg5ZQUHLjR7sLf8TLlrCVxZKaFVuoawTnk+RjfXsmnxxDqsr129p+iSkv4eBhAAvOTFGMm+BusOsF1tx8Nhl2Q8tbHlmEbY8swg9d4bQ1Tso1jnrxVb09Llb+Z5do/wp0lClG2oMpCKEEb48RKGoh1oRxgy9+WqR+Fry9Bi8t/cp7DlUi4O/dS9H42/pi1AJdZmtejwXpswkONp7ceUvt2Q9Rba3/E8A/M/qLeTtfF0bSr5nAQCvYCQctCi3UNSJ5MQY9PQNBXxU3zPvjhv+n0RTKnl6jN+gT1hCSGkLW8uNHrz6ptVrCR0l+fG8dhw85p7QeX5eRlDdxaFKN1QYSEUAo315aHIKRT3UivViqzg5otTxd21eimtNTnFdyXAJV5ktW5yFD0/avJ5sGo/QvTUeYZtALTBa06LcQlUnFszNwPm6toCP6ns+VabkbxJuQrenFteBihMNYjlqOc1IqNLVEgOpSUjLLw+REfT2DY+7zarHc3G+rk3sIphIhNYRYcDueMYbFyUswitnIXOjClWd8Nyn586QZGu+5zxH/5CXLjvtcBKuA7/a86Tf60DPnSH8+4eXxm2tu9boFAfWv/lqkWbXlVClqzU+tTfJyP3yRPI8KDT5CBerQBdEoZVAyyVVjEJY783os5KHU6jqxJonvir+fOLs3yS38ex+NGJXVMuNHqzdWoWdm/5J/H3sv6pPm1GywYI1K74aMC3rxVaxi/i9PU9h/Zp5frc9eOwyZnzzEMw/HH+haCXp6s1QgVRlZSXMZjNSU1MxZcoUyX+pqakoLCxESUkJjhw5gu7ubsm0jhw5gpKSEr/pBPpXWFgY3g8eJlp+eYSTk5w7OSVfHiXp0sSgRV2a9XCyeDEUxlOMZb3YCgDj1m2jESbM9PeovvB5/XV7KPn+TSTB1gl/5ZY8PQa7Ni0Vt5H6uwiL8B7YsVx1/kOl584QntxQCUd7L9ZurcI/rjsm+e+FXZ+Mu3zOnkO1WLu1CqbMJFQfNY87Pk+Yg+t8XVvAObaUpqs3Q3XtlZaWorS0FACQmpoqBkmHDx9GWVkZuru7YbfbUVdXhx07dqCmpgYbN27E9u3bsW/fPq+0ysrKUFZWhiNHjmDjxo3i683NzXjggQe8tr19+za6u7tRU1ODHTt2hPZD6kT48ghPqQQy3p1tz50h8Y4r0IBLwdgvT6CWMCXpUuTTsi5V/nI1SjZYsKe8FkmJ0V53sAePXcaHJ23Y8i+LDH9SHmtv+Z9Qda5Z7GrbtWkp5s/JwLVGp/jUbaDxQnK/fxNRMHUiULlteWYRWm704MOTNpT+4KRXC3/FiQZUnWs2bF0r2WCRfaMq9YSc9WIrqj5txsmzzTBlJimaWX/LM4uwt/xPWP1Erk89DCZdvRkqkPKUk5ODS5cuAQAWL14MAEhJSUFBQQEKCgpQVlaGwsJCXLp0Cfv370daWhq2b9/uk05xcbFXmjk5OT7bpKSkAAAKCtyzq3700UdafxzdBfvlAdwV/b+bOnxm9n1h5ydY+LUHsWxxlmQAFujLE0y6FLlCUZeEAcoVJxrw4QkbDh67LK7PJdzZRmI92rnpn9DTN4Sr190Do1/Y9QlMmUmYn5cha5Hh8b5/E1kwdWK8cntr+3Ksety9RIxwc2rKTEJyYowuda361/KmsAlm+o+WGz1wtPdiyzOLVD3BuX7NPMkuumDT1duU0dHRUb0zIaWkpAQ1NTUAgPr6ejHI8dTd3Y3U1FQA7mCoq6vLZxu73Y7cXPddQU5ODpqbm322GZtmYWHhuNtpraGhAY8++qj4u7XinzE354EAexAAfOfl3+PC5S9g0GpsaPY/fh8J8dP0zkbE+M7Lv8ejj2Rg90vf0DsrEWXGNw+xrinEuqbcdfttFK3/nfj7Z599hnnzwjOuylBjpJRKSUkRW5OEbr+xxnbjyUnTYrFokT0iIiKa4CI6kAIg2VUXLKnWLyIiIqKxIj6QEsZRAcEHVRP1aT0iIiIKjYgOpPbv3y/+LDXQXAl/XYNERERE/kRkIGW327Fx40ZxqoKysjKf6Q+Upmc2c9FeIiIiUsaw0x948tfllpOTA4vFIntMk91ux5QpU/y+LwxcJyIiIpIjIgIpi8Uijn+6ffs2Ll26hI8++giXLl1CYWEhiouLcfjw4XHHSOXk5KC6utrrte7ubty+fRs7duxg1x4REREpEhFdezk5OeJEnMXFxdi+fTvq6+vFoKimpga5ubleA88DpeX5T0jzzJkzof4YYWO92Op3OQm9tNzowbXG8Veap8jCuqYOy005lpk6LLfQi4gWKX+Ki4uxb98+cayU2WxWPZFmSkpKUOOsjOLgsctISoz2mVr/lf3nxCU4evqGFK2kLXffQNvNejgZew7VwtHea8hlE0g51jV19Cq3lhs92Fv+J5yvawMALFuchQM7liN5unumbyOXG+uaOiy38IiIFqlAPJeAsdvtfhcxlqOsrEyDHOnn4LHL6OoZ9JmC/+trf4Pu3iG8t/cpvLf3KWx5ZhGe3FAp645A7r5yttu1eSmsF1vFhUIpcrGuqaNXuV1rdIprbS5bnAUAqDrXjCXm33i1Vhix3FjX1GG5hU/EB1Jj3b59W+8s6EJYwHTX5qVerwtRv+cq5EVLsmHKTMILuz4JmKbcfZUcY9empfj+rj8arqmZ5GNdU0fXciuvxR+PlsLyi9V4b+9TuGj5LubnZaCnbwj//qH3kAgjlRvrmjost/CK+EBKWI8PcHfPjR1wPlkCq237zkkuBvnhSZt7Ic0vm+8Fa1Z8FY723oB3IXL3VXKM5OkxWP1ELrbtO6f0I5JBsK6po1e5tdzoQdGSbK/ul+TpMeKF7lqTd/pGKjfWNXVYbuFl2EBKTgDU3d2Nn/3sZ+LvE2GMkxrWi6241uQUm+wF1xqd6Okbwvw831XI/yEvHQBQcaJBMk25+6o5RtGSbFSda0bLjR4Zn46MhHVNHT3LLTUpFlueWeSzzfw57v2SE2N83jNCubGuqcNyCz/DBlKeUxF89NFH4vgnu92Ompoa7NixA7NnzxbHRG3fvl1yjJNni1WwY6iMqupT9wB74cQouHL9FgAgJcn3RJmaFAsAcLT3SqYpd181xxC+4KfOcbqJSMO6po6e5Ta2ZUAgXLiWLcnyec8I5ca6pg7LLfwMFUjV1NRg48aNSE1N9Qp49u/fj9zcXKSmpiI3NxclJSWorKzE4sWLsX37djQ3N/u0Rh05cgQlJSXYuHGj1+uzZ8+G2Wz2CrAi3fm6Nsm7yt6+YQDSd5xJidEAID5VoXZfNccQTuwTYZDhZMO6po6e5ebPqXN2zM/LkOwCMkK5sa6pw3ILP0NNf1BcXCxOrhmssrKyiH8KT67u3iHJOwCh4gbS0yf9xZG7bzDH8Hf3Q8bFuqaOnuUm+fqdIVScaMDxt1cF3F/PcmNdU4flFn6GapEidXr6hiTvAEyZSeL7YwW6c1Cyr9pjJCfGBLxbJmNiXVNHz3KT8sKuT8adO0jvcmNdU4flFn4MpCaA5MQYyYorVGqpCtrVOwgAWDDXd1Cgkn2DOYbUXRMZG+uaOnqW21gHj13GqsdzfSZplKJnubGuqcNyCz8GUhNASpJ0ND/r4WQkJ8b4PN4MAP/d1AEAfmeVlbuv2mP09A2JXzqKHKxr6uhZbp6qPm1GUmK05LiosfQuN9Y1dVhu4cdAagJYtjjLb7/zs6vz4Wjv9ZnwzHqxFabMJK+70rGD/eTuq+QYAMTtpB6RJWNjXVNH73ITXnO090oGUQePXfb63QjlpneZsa5NrnILBgOpCUCI8KUmU9u1eSlMmUleE55ZL7bifF0b3tvzlPhaxYkGrN1ahVf2n1O8r9ztBMIjsmtWfFXpRyWdsa6po3e5XWt04vu7/ogrf7mFF3Z+4vXv62t/I87xIzBCueldZqxrk6vcgmGop/ZInaIl2Zifl4HzdW0+c4cAwJ+Pfxev7D+HF3Z+gpSkGDjae1F91Oy17cK5DyI5McZnfzn7KtkOAM5fbMP8vAzJ98jYWNfU0bPcWm70oGSDBYB7fb2xkhNjfFoJjFBurGvqsNzCb8ro6Oio3pkgoKGhAY8++qj4u7XinzE35wHZ+19rdOKFXZ/gz8e/G4rsaSrvW0dR+cvVmnxxvvPy73Hh8hdgNVbO/sfvIyF+muL9JnNde/SRDOx+6Ruq9p+s5Tbjm4dY1xRiXVPuuv02itb/Tvz9s88+w7x5448F1AK79iaI+XPcE+v5m+LfKPYcqsXLzxZE9N3HZMe6pg7LTTmWmTost/BiIDWBbHlmEa41Og07Q6zwpZZa94siC+uaOiw35Vhm6rDcwoeB1ATz1vblkk9M6K3lRg9MmUnYtXmp3lkhjbCuqcNyU45lpg7LLTw42HwCkjNHTLjNejg54CzKFJlY19RhuSnHMlOH5RZ6bJEiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEilr+idAZL2K8tVpKXE6Z0Nw3Pc6MXo6Kje2YhIb/2fi5j2Fd5LyeW40Yv+gf/BTw//Se+sRBzWNWVY15Tr7HbpdmwGUgZ15S+3EBfLP894bvcOIioxAdEzMvTOSkRxNbfg0P+9onc2Is4X/aNovHtb72xEnD9dbUfU1Cl6ZyNi3O4dxMDg/+DC5Rt6ZyViuAb/R7dj80ptUO+8XoK5OQ/onQ3D+87Lv8f19DzMWLdG76xEFNuGrXpnISKlPLaEdU0h24atqPzFGiTET9M7KxHjOy//Ho8+koHdL31D76xEjOv22yha/ztdjs22ViIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECK0HKjR+8sEBERRSSutTeJVZxowMFjlzE/LwPv7X1K1j4Hj13GiTN/AwA42nthykzCs2vysX7NvKDyUvVpMypONODqdScAwJSZhJefLcCqx3ODSjdchp0diM5I1zsbNMmEq965HK2IM2WH/Dh6udboxPw5XPic1GEgNQkJAZSjvRcAMD9v/BNIz50hlP7gJACg8perkTw9BoA7sHr1TSuqPm2G5RerVeWn5HsWXGtyYn5eBkyZSbjW5MS1Jide2PUJVi3PlR3k6aHLegEdp88idmYWsjc/H3R6vXVX0GWtxUj/gPha7KxszChdhaj4uKDTp4lB63onlX5v3VWM9A8gdlY2khYv0PwYeqo40YCqT5vR3TuEBXMzVN+wCTeA3b1D4msL5mZg16al4jnSyIRyEG5gF8zNwPo182SVR6g++7VGJ/79w0vo6XOn2907hDUrvootzyxSnWaoMZCaZKwXW7Fw7oM4/vYq/OO6Y7L3K/3BSVxrcqL6qNnrS7LlmUVoudGDD0/aYP7hScXBlPmHJ7Fgbgaqf20WX+u5M4QXdn2C83VtqDrXDOvFVhQtMdbdsHAhu+vsBADEzswKOk377gMYGXDBtO1FsZVhZMCFtvL30fjSTzD79R9N6FYBGl8o6p2njtNncKvyFKbGxyHzubVIWrxQ0/T1dvDYZewpr0VyYgwO7FgeVIt3yfcs6OkbwvG3V2HWw8kA7p+78lYeRfVRs2FbuTzPsZ7O17XhfF0bli3OCnguD9VnF/4+uzYtFQOnlhs9eHJDJSpONHgdz0g4RmqSKVqSjflzMjDr4WSYMpNk7VNxogHXmpwwZSZJfjmECn++rg1VnzbLzsu1Rncr1Fvbl3u9njw9xutL/N9NHbLTDIc+WyNiZ2XDtO1FzdJsPfQ+Bh1tyNr0nFdXTVR8HLI2PQ8AcLxVrtnxKPKEot55chwox63KU0jIz8Mj+3ZNuCDK/MOT2FNei2WLs3DR8t2ggqgXdn6Ca01OvLfnKa8Le/L0GLy3x92CLrTgG1HpD06iu9cdCP3XR8+g+qgZuzYtFd8/X9eGPYdqJfcN1Wev+rRZ/Pt4tj7NejgZv9rzJBztvVi7tUpxuuHAQCrCCd10PXeGxt94jOREec2vH56wAYDfwMszKPv3Dy/JPn5X7yB2bV7q9305XY56SMyfgzhTNqIz0jEtI02TNO/UXwUAyRanqPg4xJqycG/ABZejVZPjUeQJRb0D3K2ef31tL/ptTYg1ZcG0bdOE6kbuuTOEr6/9Dc7XtWF+XgYsv1gddLdb1Tn3DaPUjWXy9BjMz8tAT98QrjU6gzpOKFScaAAAVP/ajKIl2Zj1cDLmz8nAlmcW4b8+ekbc7uBvL0vuH6rPvm3fOQCQHG9btCQb8/My4GjvxcFj0vnSEwOpCPfhCRv2lNeiq3cwZMe41nR/ALg/QtAjbCvHeN11whiuZ1fny04z3LS44Aw7OyR/ponN3U13BiMDLsX7ahnoON46hLvOTkyNj4Pplc2apRsqSm8eS39wEo72XiQnxqDyl+rGcXryfMrZSE88yy2Xqk+b8as9T0q+N+vhZGz5l/utQWODoVB99ooTDeKYqGWLpburhdeV3KyHCwMpCsjzS+k5qHCslKT7d3ha3IVVfdos9sFHwqDNYEQlJIg/f1Fh8Xl/ZMCFQUcbpsbHcYzUBNJlrcWtylMY6e/XLQ8dp89g0OEeJ5P53NqIaIlScvN48Nhl8ebuwI7lmpxLUpNixZ9ffdPq837PnSFca3IiOTEmrGOk5JaL0Arlz7Il/sfdheqzC0NC5udl+P0bCfnq6RuC9aKxWuYZSFFAnpVaaCGS3M6jmzDY1jHrxVZs23cOx99eZbhB5qEQFR+HlCJ3F2e/rQmth973er+t3P171qbnwpwzmuhuVZ4Sf55oY6IAYE/5/XE+Wk2lkjw9RmwlP1/Xhhd2fuL1/gu73L/7a/XRm5Kn38b2QoTqswuD3gP1eni+Z7Rxs3xqj8Y1Py9DnJKg586Q5B1DavL9OxXPuxYlhMdehT74tVursOVfFgUcRzVRZK5fi7vOTvTbmnCn/irsuw/gwdKnxQvdV9/4V85TRZrqrbsi/jy9cAF6666g4z/vt1DFmrKQ8LU8zDCv0imHwfF88GXV8lxUfdqMf//wkthCNT8vA8sWZ6k6v7y1fTkc7b3ik8Ul37Ng56Z/wt7yPwEA/uujZwz5dJkcwg3zssVZkud6rT+7ZxehZ8/GWJ7XlSt/uSU7/XBgixSN6+VnC8SfPe/wPHlW7KTEaMXHsF5sFecO8bzzOPjby36fHploTNs2YXqhe76eQUcbPj/wLgAg5/VtDKJIc13W+9+rwc/bMOzsxIOlTyNr03NIKVqKQUcbOj8+i7++tjcix+4Jg6oB99hNR3svdm76J7y35yk8uzof15qcOPjby/j62t+oGu9j+cVqrFqeK6YvPFFW/WtzxAZRwP0ANFDLlZafvbdvWPw50ANQnkGdMJ7KKBhI0bhWPZ4rDvT78KQNr+w/h5YbPei54+6rNv/wpNd8JGpOIkVLsvHe3qdg+cVq/Pn4d8XHaAF3MGWkQZ2hlL35ea8nsgYdbeL8UkRaGv5yLioAMG17EekrVyAxfw6SFi9E5vq1mPnlNAt3nZ2SY/eMznMowvG3V2HLM4tQtCQbqx7PxVvbl+P426vE7aTG+8jx3t6nvG78rjU53XMsqXiK2ghabvTgfF0bnl2dP+6wCq0+u+dQEM+ejUACjdfVAwOpCNBzZwgzvnlI8p/QTP2P645Jvq/Vo6KWX6x2z1ibGIMPT9rwj+uOIW/lURw8dhlvvlokbifcpQRr1eO5XsGU0frEQ2HY2QH77gNIyM/DzG0vYuqXA38HHW346449EdkqQMYlTuppypJs8UzMnyO2kPbbmiJu6g3PlRukbu6KlmSL56vzdW2KH5JpudGDku9ZsGxxlvuhmC9bU641ObHErK6VS2+vvmmVnNtvLC0/u2eXXVePvPG1gboA9cAxUhHC3yA84WSRnBgjWbnUdLP5s+WZRdjyzCL03BlCV++geHKyXmwVm1qfXaPdVAWrHs+FKTMJjvZeXPnLrYhZd08NdxD1c8TNykbm+rUAgEf27UL7+x/hTv1V3BtwwXHgXTzyxk6dc0pKjAy40PjSTwJu87fX/k3y9QdLn0b6yhWhyJaXqIR4v++lLl8qznE22BK+9fZ67gwhb+XRgNv4W5nBc1ZsIPBF99k1+eKYzCvXb8l+0kyYbXvB3PtBx0XLd7Ft3zlUnXM/cbx2axX+fPy7stKTS8tyGaviRAMc7b2oPmr2uw2g/Wf3vEYF6rLzbOmSOwdiuDCQigDJ02P8Vkphnbo/Hi0NW7988vQYr/5qodVrfl6G5k/ZLVuchQ9P2mQ3+arReuh93O3olHzvoefWhuXi4TjwLu4NuPDQ+vsnsaj4OGRvfh43LVXo/Ni9LMhNS1XEDv6drPxNnim0CE2Nj5MMZkI9FcHU+DjcG3B5res4VrRH3odvSX9HQiXYm8fkxBj09A0F7AbyPIbjhv+nksdau7UKPX1DXq3xydNj8N7ep7DnUC0O/ta9lumeQ7WaPywTiptq68VWHDx2WdZ0M1p/9lkPJ8v6W3l2AS782oPjphtODKQoKBUnGsTxUaF43Ff4YvmbpE0Lg5+3iRe1sQJdZLTSZ2sUJ0SU6mKZYV6Fwc/b0G9rQv9fmkKeH9JOVHyc31ZE++4DGHS0Ief1H+nyMEHcrGz025q8xkqN5TnHWVSi/5YrrWlx87hgbgbO17UFnLbFs1tJ7s2a9WKrOMGn1PF3bV6Ka01Ocd06LYXiprrlRg9efdMqax27UH12OX8rz/dCeT1Qg4EUqXat0SkO0nzz1aKQtIgJyzqEcmI7vbvL7skYSJ60eAH6bU0cdE6aEerUvQEXRgZcki1gnpOFxpqMdfEaz6rHc3G+rg09fUN+p23xbOX4hzx5waznU2Zyjm1kLTd68P1df5S9GHCoPruwT6CVMc5fdAdm4Z7oVA4ONp/EhIqu5stuvdgqLkz53p6nJNdHEhw8dhkzvnkI5h96L2TZcqMn4JIGQpehUSe204pwgQoUUAldP7EzI+tiRsaVtOT+eJnei9IPpQx7dD8m5s8JS760suaJr4o/nzj7N8ltPLvD5A5LEAKuQOdNoaXLqOuFAveDqF/tedJvENVzZ8hr+plQffb1a+aJ4578zVoutHB5TsdjFLoFUpWVlTCbzUhNTcWUKVMk/6WmpqKwsBAlJSU4cuQIuru7JdM6cuQICgsLvfYtKSkJeHy73Y6SkhKfYxYWFqKysjIEn9hYeu4MiScRpY+S7jlUi7Vbq2DKTEL1UfO4g8CF+VzO17V5Pc2xt/xP2FNei7yVR2H+4UnxqZlrjU68sv8crBdbwzr2Sw2hheiea/yWoo7TZ2DbsBWOA+Ver0dnpIvBVMfpM5L79tncXXrJX18YRG5potCi3kXFx+HB0qe/3OasZGtn1zn3RTTzubXBZjnskqfHYNcm9xgdfzdswoLsB3Ys93nP3w3grIeTxSDB31PRQjCwZsVXJd/XW8uNHqzdWoWdm/5J/H3sv6pPm1GyweL1GYL97P7KFICYF6l0rzW6J4Q2ZSYpmpk9XHQLpEpLS2GxWNDV1YWUlBTx9cOHD2N0dBRdXV04c+YMNm7ciLq6OmzcuBGpqanYsWOHT1plZWWor6/Hvn37xNdqamoktxXk5OSguroaXV1d4msWiwX19fUoLS3V5kMakDCosGTD/XlhrjU58cLOT9zrUvl5BNh6sRWv7D+HvG8dxfm6Nhx/exWqf22W1cS65ZlFSE50Ly3gGRTt3PRP7tlzE2Pcyw3s+gTmH57EiTN/w/o182D5xWrDB1HC2Co5Y6mECRDd41K8pzIwvbIZ0zLScKvyFLqsF7ze6zh9Bt3WWqR964kJuYwHKaNlvUtfuQIpRUtx19kJx1uHvN7vsl7AnfqrEV3vtjyzCM+uzoejvRelPzjpdSNXcaIBVeeaseVfFkneDPq7AQSAyl+uhikzCXvKa70m/gTcgcCHJ21+09Vbz50hPLmhEo72XqzdWoV/XHdM8t8Luz6R7EYL5rMHKtP1a+bh2dX5OF/X5hVM9dwZQukPTsKUmSTO/WU0U0ZHR0f1zkRhYSEuXXKv6FxfX4+CAt+mO89t9u3bh+3bt0umlZubC7vdLv5usVjGDYzMZjMqKyuhZ1E0NDTg0UcfFX+3Vvwz5uY8oFt+PAmTtC1bnGW4wOY7L/8e19PzMGPdmrAds8/WiEFHG7qstV6D1KcXLkDc7Gwk5OdJPunXZb2Am5WnkLRkoTjFgdQ2XdZarzEr09LTkP6/Vmj69KBtw1bN0ppM0p5crlldEwaby13+J5T1rs/WiN66q+j/suUzOiMNU+PiNKl3tg1bYf/j95EQPy2odATCoGolS5FYL7ai6tNmrzXdkhNj8PKzBX5vBitONGBv+Z+w+olcv/MqVZxowIcnbOjpGxK7pkyZSQHTleM7L/8ejz6Sgd0vfUP2PnLL5etrfxNwULenN18t8jtsQ81nl1Om1outYrqAu8dEzlI+1+23UbT+d+Lvn332GebN8z/kREuGCKRKSkpQU1MDwH8g1d3djdTUVABASkqKV0uSp9zcXNy+fdurG7C5uRk5OTl+j79x40bU1NSgubnZ7zahZuRAysj0CKQmAgZS6mgZSE0WWgdSk4GaQGqy0zOQipjB5ikpKWIXYHd3t1er01g//vGPUVxcLP5eUlLid3zV2LSJiIiI5IqYQApAwFYlTykpKbBYLOL2drsdZnPg2VqJiIiIlIqoQEoYIwWMH1SlpKSgurpabGkab/A5ERERkVIRE0jt379f/NnfQPOxcnJyYLHcfzpt//79k2JqAyIiIgoPwwdSdrsdGzduFFuTysrKvKY5GE9xcTEOHz4s/m42m71atoiIiIjUMtwSMYWFhZKvC61LUk/0jUeYZ+rIkSMA3MFUfX09B5gTERFRUAzXIiVMillfX4/q6mrs27cPBQUFsNvt4izngZ7Y8+fw4cPik3wcfE5ERERaMFwglZOTg4KCAhQUFKC4uBjbt28XgyrAPWg8NzdXVfec55N8E3nwufViq9/16/TScqPH76zpRtFna/S7KPBNS5XPrNDhMOzsgMshvfYURa5AdS0YSuppe8VxtB56X/zd6HVN7/PankO1PrNxR8J5Te9ykxIJ5aaE4br2/CkuLsa+ffvE4MdsNiueQFN4ki831z11/f79+7FkyRLN86qng8cuIykx2mcBzlf2nxPX1OvpG8KbrxbJnhVY7r6Btpv1cDL2HKqFo73XkMsmdJw+gyiJhVk7Tp9Bx3+ewb0BF5IUrnPXXnEcI33uJTzuuVx4aL1ZcgbrQNtFZ6TjpqUKd52dEbtMB3nzV9fk1hd/aSqppy5HK7qttZheuEB8zch1Tc/z2sFjl/HvH15CT9+Qz/pxRj+v8XoQHoZrkQrEc5JNu90ecJJNf4Q19gQTafD5wWOX0dUz6DOl/9fX/gbdvUN4b+9TeG/vU9jyzCI8uaFS1h2B3H3lbLdr81JYL7b6Xd1bLx2nz2CkbwCpRY95ve5ytCK16DHEzVK+RMZfX9uLkb4BZG9+Htmbn0fayidg3/1znzt+OdvNMK9Cn60JfbZGdR+QDMNfXZNbX6Soqae3Kk9Jvm7Euqbnee1aoxPPrs7Hgrn+l3sx6nmN14PwiahAaqzbt29Lvj5egCW0bgmE5Wki2bVGJypONPisRyRE/Z6rmxctyYYpMwkv7PokYJpy91VyjF2bluL7u/5omKZml6MVXdZazDD7LoYZZ8pGVHwcpmWkKUpTuKvPfH6d+Fpi/hxEZ6ShrfwDxdsBwIzSVWgr/yAk3UEUHv7qmpJ6IEVpPb1pqcKDpU/7fd9IdU3P8xoAzJ+TgeTpMTBlJgVM02jnNV4PwiuiAinPgCclJUX2TOdStm/fjrKyMi2yZQjb9p2TXFzyw5M29wKd02O8Xl+z4qtwtPcGvAuRu6+SYyRPj8HqJ3Kxbd85pR8xJL744DhSiwIvhqlU1/laTMtIExcdFiQtWYi7zk6xlUHudgAQFR+HpCUL0f7+R5rmlcLHX11TUg+C5XK0YsTlCrgQsZHqmp7nNSWMdl7j9SC8DBFI+WtZ8tTd3Y2f/exn4u/+5pKy2+3o7OyUfG+sw4cPq5pOwWisF1txrcmJZYuzvF6/1uhET98Q5uf5Nkv/Q5577EXFiQbJNOXuq+YYRUuyUXWu2WfgZrj12Rox6GhDQn6eZmm6HK24N+BC7Mwsn/diTe7Xuqy1srfzlJifhzv1V3UZ9E7B8VfX1NSDYNyqPIXM9WvH3c4IdU3P85oaRjmv8XoQfoYIpDynM/joo4/E8U92u118um727Nlil52/1iRh1nJhvig5zpw5E/HzSVV96h50P3+Od+W9cv0WACAlKcZnn9SkWACAo71XMk25+6o5hvAFP3VO+TQWWuqtuwoAAe/OlRpscbceRCXG+7wXleB+7a6zU/Z2nhK+HJws5Jsih7+6pqYeqHXTUoW0lU/I2tYIdU3P85oaRjmv8XoQfroFUjU1Ndi4cSNSU1O9xjTt378fubm5SE1NRW5uLkpKSlBZWYnFixdj+/btaG5u9mmNOnLkCEpKSsS5obq7u5Gamgqz2TzueKmUlBTU19fjgQce0Pojhs35ujYkJ/pW3N6+YQCQfC8pMRoAxKcq1O6r5hhCk6/egwz7bU2YOqY7JVjCuJKoON90ha6bkf4B2dtJvd5va9IuwxQW/uqamnqghtClN/ZJQX+MUNf0PK+pYZTzGq8H4afb9AfFxcU+y7eoVVZWFtR4p7FP8kWa7t4hyTsAoeIG0tMn/cWRu28wx1B756eVkf4B8a5fK2PHuUged8Alezspwxq1UFD4+KtrwdQDJW5VnkLWpucV76dnXdPzvBYMvc9rvB6EnyG69ig4PX1DkncAwpMmUhU30J2Dkn3VHiM5MUb1nZ9W7skMaJQQnpwacfle/MTWB48nrMbbbqyp8XGatFBQePmra2rrgRIdp88gafECMU3hH+Cer8rzd0961zU9z2tqGeG8xutB+EXMhJzkX3JijGTFFSq1VAXt6h0EAL/zo8jdN5hjSN01hdPU+DjNH/GOFi6Mfb4XIOGiFDsrW/Z2UrRuRaPQ81fXgqkHcvXbmtBva8IXFRbJ9xpf+gliTVnIeX2bz/t61jU9z2vB0Pu8xutB+DGQmgBSkqSj+VkPJyM5MQbXmnwfaf3vJvfTOP5mlZW7r9pj9PQNBX3CClZUQrzmd9zRGemYGh+Hwc/bfN4bdLhfS1q8QPZ2Y90bcKmaIJT05a+uqa0HSjxY+rTksT8/8C5iTVl4sPRpyYBJ77qm53lNLSOc13g9CD927U0AyxZn+e13fnZ1PhztvT4TnlkvtsKUmeS1dMDYwX5y91VyDADidlKPyIZTQn4e7mnQIjV2FujUZUtx19np0wLRb2vCtIw0ccCv3O0EwnZSj8qTsQWqa0rqgZoZx+NM2UjMn+Pzb2p8HKalu9Mf+zShEeqa3uc1pYxyXtO73CL1ehAMBlITgBDhS02mtmvzUpgyk7wmPLNebMX5uja8t+cp8bWKEw1Yu7UKr+w/p3hfudsJhEdkx65bFW7Cnf54Ex5KdbsIuqwX8PmBd9FecVx8bYZ5FaZlpHlNaNhna0S/rQlZm55TvJ3A1fK5O98K1/wj/QWqa3LrgVRd8xSoniplhLqm93nNk5zxO0Y5r+ldbpF6PQgGu/YmgKIl2Zifl4HzdW0+c4cAwJ+Pfxev7D+HF3Z+gpSkGDjae1F91Oy17cK5DyI5McZnfzn7KtkOAM5fbMP8vAzJ98IpMX8OYk1Z6Lc1Sc4l5XK0ovfPV3Cn3j2Xzq3KU0havMBrnbTYWdmYGh+HOJP3nfsjb+xEe8VxtB56H1GJ8bjr7MTs13/kcxy52wFAf0MTYk1Zms57ReExXl2TUw/81TU59VQpI9Q1I5zXrjU6ceLM31B1zj03057yWqx6PFdy1nCjnNeMUG6ReD0IxpTR0dFRvTNBQENDAx599FHxd2vFP2Nujvy5ra41OvHCrk/w5+PfDUX2NJX3raOo/OVqTb4433n597ienocZ69ao2t/laEVb+Qd45I2dQecl1K6/9BOYXtmkycXNtmGrBjmafNKeXM66ppBtw1bY//h9JMRPU7zvZD6vPfpIBna/9A1V+0/Gcrtuv42i9b8Tf//ss88wb55vwBsK7NqbIObPycD6NfNUL28QLnsO1eLlZwsMc/cRZ8pGatFSdFkv6J2VgG5aqpD+7RVsjYpgrGvK8bymDsstvBhITSBbnlmEa41Ow84QK3yptzyzSOeceEtfuQIuR5uqgbzhIFx401eu0DknFCzWNeV4XlOH5RY+DKQmmLe2L5d8YkJvLTd6YMpMwq7NS/XOiqTM9Wsln5zS27CzA9My0jDDvErvrJBGWNeU43lNHZZbeHCw+QQkNRBSb7MeTsash5P1zkZAwQzODZXojHREZ6TrnQ3SGOuacjyvqcNyCz22SBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKDKSIiIiIVGIgRURERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpNJX9M4ASfuV5SrSUuL0zobhOW70ov92M279vz/onRWaBPqbWNfUeOv/XMS0r/C+XS7HjV70D/wPfnr4T3pnJWJ0drt0OzYDKYO68pdbiIvln2c8t3sHcbf/Nvqv/03vrESc2NkzMWUqL25yDba2Y7ClFYMtrXpnJeL8+k+3WdcUGOwaxsDg/+DC5Rt6ZyViuAb/R7dj80ptUO+8XoK5OQ/onQ3D+87Lv8f19DzMWLdG76xEFNuGrZj1ymZMjY3ROysRo+XNd+BqbMbo6KjeWYk4rGvKtLz5DswLErD7pW/onZWIcd1+G0Xrf6fLsXmLQERERKQSAykiIiIilRhIEREREanEQIqIiIhIJQZSRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAitByo0fvLNAkNOzsCMtxXA4uMkz+jQy40Ft3Re9sTDjXGp16ZyFsuGjxJFZxogEHj13G/LwMvLf3qYDb5n3rKHr6hmSle/P/2yw7D6FKN9R6666gy1oLV4v7Ih2dkYb0b69A0uKFmh/rr6/tRXRGGkzbNmmeth66rBfQcfosYmdmIXvz8yFJv7fuKkb6BxA7KxtJixdofgyKLC5HK/6+++d+35+57UVV6Qp1TTgPxM3KRmrR0pCcB0Kh4kQDqj5txtXr7qBnwdwMrF8zD6sez1WdVnfvEBbMzVCVhj9fX/sbmDKTYPnFas3S1BIDqUlICKAc7b0AgPl5GQG3r/q0WXaws2q5/C9PqNINNfvuAxh0tCHWlIXojDQMOtow6GhDW/kHmF54RdPgoPXQ+7jr7ER0RppmaepFCKDuOjsBALEzszRNv+P0GdyqPIWp8XHIfG5txFzMKPQ6/nDG73vTMtKQmD9HUXojAy60lb+PfluT1+v9tib025qQkF9r6BufnjtDeGHXJzhf1+b1+vm6Npyva8OyxVmyg5aDxy5jT3ktkhNjcGDHck0DKAB4YecncLT3wpSZpGm6WmIgNclYL7Zi4dwHcfztVfjHdcdk7VNxogHLFmdh16alfivzhydt2FNeizUrvio7L6FKN5QcB8oROysbOa9vE1/zPKneqb+KPluj4hOzlC7rBdypvxp0OkbQZ2tE7KxsmLa9iL+99m+ap+84UP7lBSwPWZueR1R8nObHoMg07OzAnfqrmLntRUQlxPu8H2fKVpym461DANwtWdEZaRgZcKHf1oRblacAuAOqm5YqzDCvCi7zIVL6g5MAgONvr4IpMwm9fcM4X9eGPeW1ANwB1Z5Dtdi1eWnAdMw/PCkGXu/teQrJ02M0zWfFiQZUnWvWNM1QYCA1yRQtuX/SMGUmia1S/rTc6EF37xCqf20OuJ31ortpW+7dSKjSDSWXoxWxM7N8To5R8XEwbdsE24atAIBBR1vQgdSwswMdp88ipWgpuq21QaVlBJ7lMS0jTWyVCtbIgAv23Qdw19mJWFOWoVsBSB/C90iLmxvAfYMDwOtmCnAHZEmLF4g3Cp0fnzVkIFVxogEAfM698+dk4OnlOeIN9sHfXvYbSPXcGULJBgsc7b2Yn5cRki63lhs9OHjsMp5dnY8PT9o0T19LHGwe4YRuup478rrIPCUnjn/3kJoUi8pfBv6S9NwZwvm6NkXdb6FKN5RG+gcCnhhjTdp1VTkOvIusTc8hKm7itaxo2VrkeOsQ7jo7MTU+DqZXjDOGjkLH3UV8BiMDrnG3HRlwodtaizgNv5u9dVeRtek5yfeiM9KR9q0nxN/D+aCD3GtB1afN+NWeJyXfm/VwMrb8yyLxd38Dxkt/cBKO9l4kJ8aMex5Xa+3WKncrl4zrlN4YSEW4D0+4u766egdDkn7y9Jhxm2tPnP0bACjqfgtVuqE03h3t8JetLKlFjwV1nNZD7yO1aKmqLofJpOP0GQw63GM8Mp9by+68SaLLWotblacw0t8/7rYdf6gBAHxRYYFtw1bYdx/ATUtVUE+MJuTnIToj3f/78/JUpx0MudeCoiXZmPVwst/3ly0JHHQePHYZ15rcAdaBHcs1784D3OOi1q+Zh/lzAo/fNQp27VHQPjzhbnbVuvstVOmGQm/dFdwbcLnHYQRxQe+yXsA9lwvpK1domLuJSRiPAoADy0lS58dnvX4XHgzp/Njd3Ze5fq3iNJV8NwMFXHrZ8syi8Tf6ktTYVWEcFRCac3PFiQb09A0pyqfeGEhRUHruDOFakxPLFmv7BFao0g2FPlsj2j84jpnbXgxqHIYwLmrs2Avy5Tnvz/TCBeitu4KO/7zfQhVrykLC1/IMOUaFwmfOf/wUrpbPcdfZib6GJq+HN7qttbjr7NR8XJ0w/i8hPy8iW0mFcbPLFmf5tDZVfXp/4Peq5bmo+rQZ//7hJbGFan5ehvsBonEGqfsjjIuqPhp47KzRMJCioAiDANevmRcR6WrJ5WhFxx/OiCfnzw+8i7RvPaH64u048C4eWm+OyJNvuHV5DMAf/LwNcbOz8WDp07g34EKfrQnd1loMOtrQW38Vpm0vGrJlgEIvKj5OvLlJLXoMIwMudFkvhPTput469/kgbeUT42xpTEKwJNUiJAxUB4BrTU4s/NqD2Lnpn9DbNwzrxVZ8eNKGa01OVJ1rxvG3VwXsQpSydmsV3ny1KCTdhaHEMVIUlBNn3OOYtG7iDVW6WumzNaLjD2dwz+XCNI85njo/PoublirF6bUeeh9JhQs0e7Joohv2eOrPtO1FpK9cgcT8OUhavBCZ69eKEyzedXbiiwqLXtkkg4mKj0P6yhWY/fqPMPXLG5ax3X/BGHZ2oN/WpOlTguHUcqMH5+va8OzqfK8nvAWeT3kff3sVtjyzCEVLsrHq8Vy8tX05jr+9Stzu1Tetio79ws5PsGp5ruRxjY6BFKk2mbv1EvPnIHvz8zBt24RH3tjp9RRP58dnFQ1m7bJewN2OTnZDKSBO6mnKkmxtSsyfg+mF7hnN+21NXCaGvMSZspH53P3xUX22Rk3S/aLCglhTlqqxV0bw6ptWzM/LwFvbl0u+7zmJs1RrU9GSbPEp6/N1bbKXiak40QBHe6/qLkG9sWsvAvTcGULeyqMBt/E3ueauTUtDNmhvMnfrjZW0eCGyNgFt5R8AcA9qldOdNOzswM3KU3hk365QZ3FCkppgUZC6fKnY7TrY0sqnICPIyIALjS/9JOA2/iZ2fbD0aVkDwpMWL8TU+OO4N+DCPRlTKYyny3oBw87OkI5xDOW1QAhm5IxPSkny3/X27Jp8cRLNK9dvjfvkXcuNHuwt/xMuWr477nGNioFUhPA387dwh5CcGCNZuZMSo0OWp4nSrdd66H3c7ZCeIPKh59bKvgAnLV6IaRmncNfZCdffW2U9SXbT4h6rIcyUPJbQhdVva4J99wEAQOysbN3veLUqM7Wmxsfh3oALI/0DfrfxXFZn+JY2E4BS+EzzsyyS0Bo5NT5OMpBWMsYwbla2zzIvavTZGtFx+ixMQT61K0corgXWi604eOwyjr+9KuD4pOTEGPT0DaG71/9cVZ75c9wIPOEzAOwt/xOA+7OtjyV8rvN1bSj5nrubfsFc/61memAgFQGSp8fgz8elo/WS71lwrcmJPx4tVTywLxgtN3pC0v0WqnQDGfy8ze9M24Eu1FIS8vPQba1FVKL/lpKx7g24xKfNAhG2CdQKEy5alpkawgVwOMAM6VEJCfd/VvD3IP1FxcfhkTd2Sr4nrHWZ8/qPNHuIwF/QJsewswNfVFjC8lBDKK4FLTd68OqbVlmDwxfMzcD5uraAK2KkJsXe/zk51u92nnr6hsQn/wIRtgnUIqYHBlKkyqlzdgDad7+FKt1A/J2w1RjpcwcRCfnyJuUbb4FjYSHehPw8Qy1/omWZqZG0eAH6bU3uVqkBl2QrgOeEjVrOOk8Tx/CXs+KrbUEddnagrfyDiH0ytOVGD76/64+yn7Bb9Xguzte1oadvCD13hiRbrzwnBP2HvPHL5L29TwV8X1gUWclCyuHGweakivAYrNbdb6FKN1z6/9KEWFMWx+OEWNKS+2M9ei9eltxm2KMLKBKfoKLQcjlacdfZifRvq5v8VgiisjY95zeIGhlwqXqKNxyEIOpXe570G0T13BnCnkP3pxpZ88T9VSaElSfG8uxijMQn8NQwbCBVU1ODkpISTJkyxe+/1NRUFBYWYseOHbDb7V77HzlyZNz9/f0rLCzU6VOHV0/fkNf/crXc6IGjvVd299vBY5cx45uHYP6hdB+42nTDzT1hpv81vjpOnwEAv+twdZw+A9uGrXAcKA9ZHiOBUH73XOMP8PVXZlHxcXiw9Okvtzkr+TfpOue+AHg+nUWTx01LFRwHyr0mb/X0xQfHkZCf53dgeqDv67CzA44D74p1cNjZ4fOvt+4K7LsPIOnrC7X6SJppudGDtVursHPTP4m/j/1X9WkzSjZYvJboSp4eg12b3E/W+VvXT1iR4sCO5T7vyb0WRBrDdu0VFxejuLgYlZWVMJvvP0XQ3NyMBx54AHa7HXV1ddi3bx/279+P/fv3o7S0FBaLezBaWVkZysrKcOTIEWzcuNFnf0+3b99Gd3c3ampqsGPHjvB8QJ313BkS7xwCDRyUorT7TWhlOl/XhpYbPX7vfvTo1lPipuUU7tRfFbvaHix9GnGmbLgcrej6cpbkQOM2hEkk3WN7OiKyKyBYIwMucWyVnLFUgcosfeUKDDs70W2theOtQ14tA13WC7hTfxVp33qCy8dMUsL8UP22JsSazri/r7Nmot/WiJuVp5BUuCDglCP+6t7IgAv23T/HvQEXPj/wbsA8GLF1uufOEJ7cUImeviGs3Rq4tWx+XobPU3dbnlmElhs9+PCkDaU/OOnVolVxogFV55qx5V8WSfYqyL0WRBrDBlKCgoIC8eecnBzk5OSIrxcUFKCsrAwbN27EkSNHUFlZicLCQtTX14v7FBcXS+7vKSUlxetYH330USg+iiFYL7biv5s6fGaofWHnJ1j4tQexbHHWuI+rCvvKbTna8swi7C3/E1Y/kRvwi6M03XCbYX4a91wuuFpa0W9rQlv5B4jOSEPszCxZiwynr3zCfQJfsnDSBVF9tkYMOtq8ZyR3tKH10PuIm52NhPw8yfIbr8wy169F0uIF6K27CseXF7XojDRMjYvD7Nd/ZLiLGIXPzG0vovP0WbhaWjHoaBO/rwlfy5M1pslf3bPvPiB7uoTUIuPNi1SywSK7F+LZNfmSr7+1fTlWPe5eIkYIxkyZSUhOjEH1UbPfa4jca0GkmTI6OjqqdyYC6e7uRmpqKgB3INTc3Cy5XW5urti9Z7FYUFpaCgCw2+3Izc0dd3/P4xUWFo67ndYaGhrw6KOPir9bK/4Zc3MeCLAHAcB3Xv49rqfnYca6NXpnJaLYNmzF3HfewNRYYz39YmQtb74DV2MzDH7KNCTWNWVa3nwHzy5IwO6XvqF3ViLGdfttFK3/nfj7Z599hnnzwtO7YdgxUkp5tjxVV1eLP4/txhtPSkqK2D1IREREFMiECaSEVicAPgPPlfLsTiQiIiLyZ8IEUp5dcVLjoOSYLE/rERERkTYmTCBVV1cn/uz5lJ9c3d3dQbdkERER0eQyIQKpI0eO4NKlSwDuT5ughN1uVxV8ERER0eRm+OkP/BFakH72s5+hsrISgDuICjRQ3G63Y8qUKX7fF6ZBICIiIpIjogIpf4FQaWkp1q1bJ0554E9OTo7XE32AOyC7ffu25OzoRBQZXI5WDLa0ImnJIsl194iIQiWiAqmcnBzU19fj9u3beOCBB1S1IPkbiH7mzBnMnj07yBwag/ViKxbOfVByQUm9tNzoQW/f8LiTfeqpz9aIuFkzDXUhHnZ2YGTAZdiJJfUss5EBFzr+UIPe+quYUfq0GEQZvcxIHSN8P9srjmOkb0BcbDwS6hqvB6EXUYEU4O5+C0UXXEpKCvbt26d5uuF28NhlJCVG+ywW+cr+c+JSMD19Q3jz1SLZM8vK3TfQdrMeTsaeQ7VwtPcackHijtNnECWxuK1w4gTca8M9tN4sa1bykQEXbla6Z/y96+zEtIw0ZK73XfNt2NmBm5ZTiEqMx0jfAO65XEgtWiouaxKdkY6blircdXYabqkTrctsvLLw5HK0wvFWORK+lodH3tjp9Z6Ry4zU0bquqdnX5WhFt7UW0wsXiK8Zva7xehAeE2KwuVbKysr0zkJQDh67jK6eQZ+16r6+9jfo7h3Ce3ufwnt7n8KWZxbhyQ2VuNboHDdNufvK2W7X5qWwXmyF9WKrNh9YIx2nz2CkbwCpRY95vf7X1/aKd5/Zm59H2sonYN/9c7gcgfM/7OzAX3fsQdLiBchcvxambZsw0jcA++4DXovrDjs7YN/9c6T/rxXIXL8W2Zufx0PrzWgr/8BrodUZ5lXoszWhz9ao6ecORijKTE5ZAO4L2t93/xxxs7LFloGxjFhmpI7WdU3tvrcqT0m+btS6xutB+DCQmiCuNTpRcaIBuzZ7r+0kRP2eK3EXLcmGKTMJL+z6JGCacvdVcoxdm5bi+7v+KLlquB6EBYfHLl4q3GVmPr9OfC0xfw6iM9LQVv5BwDRvWk4hKiHe6+458/l1GHS0oeMPNeJrXedqEZUQ79UtEJ2RjoT8PK816QBgRukqtJV/4BWI6SUUZaakLIS0sjY9HzBNI5UZqROa76fyfW9aqvBg6dN+0zRaXeP1ILwmfCB1+/ZtvbMQFtv2nfO58wCAD0/a3ItJjukfX7Piq3C09wa8C5G7r5JjJE+PweoncrFt3zmlHzEkvvjguOTCol3nazEtI81nPEbSkoW46+z0e+c6MuDCnfqriJ3pvfByVHwcYk1Z4or0ADDs7MRdZ6fPyXekf8An3aj4OCQtWYj29/VfUFvrMgPkl0XH6TO46+zE9MIF446VMVKZkTqhqGtK93U5WjHiCjwOymh1jdeD8DJ8IOUZCE2WoEgp68VWXGtyYtli74v3tUYnevqGMD/Pd0DfP+S5xwJUnGiQTFPuvmqOUbQkG1XnmtFyo0fGpwudPlsjBh1tSMjP83rd5WjFvQGXTzAEALEm92tjW0kEw84OAEB0RprPe9PS08TjAkDiPPdx28rf9zr2oKMNaSuf8Nk/MT8Pd+qvisfQQyjKDJBfFkIa0RlpcBwoh23DVvz1tb24aamSTtcAZUbqhKKuqdn3VuUpyfGNYxmlrvF6EH6GD6SEiTYB91QF3d3divavqbnflWK32xXvHwmqPnUvjzP2CYgr128BAFKSfJ/WSE2KBQA42nsl05S7r5pjCF/wU+f0nW6it+4qAPjcaQ62uO9IoxLjffaJSnC/dtfZKZmm8PqIy7eJX0hP2Ca16DFML1yAflsT/vraXvTWXcEXHxzHzG0v+gyqBYCEL18T8q2HUJQZIK8sRgZcYhpRifHI2vQ8vvrGvyIhPw+dH5+F40C5T7pGKDNSJxR1Tem+Ny1Vkjc1UoxS13g9CD/DBlI1NTUoKSnxmXF89uzZMJvN4iSc/hw5cgQlJSXYuHGj5P6eAVakO1/XhuRE34rb2zcMAJLvJSVGA4D4VIXafdUcQ2jy1XuQYb+tCVMluoeE7qWoON/3hO4Aqe43AJj2ZUuUcML22vfL9Dy7r7I3P4+UoqW46+xEW/kHSFqyUDKI8jx2v63J72cKtVCUmWC8shDu9GNNWUhfuQJR8XGIzkhH5vq1iDVloV9iwK8RyozUCUVdU7Kv0KXn7/vob3+96xqvB+Fn2OkP1Cz14qmsrCzin8KTq7t3SPIOQKi4gfT0SX9x5O4bzDH83f2Ey0j/gHgX6knOPDX+BpXGmbIxNT4Og442jAy4vNISWqnGpj/SN4CUoqXottbiVuUpDDs7A3YlDAdo2Qm1UJSZ1zYBykK4wAldpJ5Si5biiwoL+huaJC98epYZqROKuqZk31uVp8Z9oEGK3nWN14PwM2yLFMnX0zckeQdgykwS3x8r0J2Dkn3VHiM5Mcbv3U+43BsT6AiEViWp7jnxjjbACXnGl0/3ON46JLaidFkvoPfiFe/0B1yw7z6AxHl5yFy/FrNf/xGmxseh21rrd8zP1Pi4cVt2QilUZSanLIRxZ/ckjiEcX+oipneZkTqhqGty9+04fQZJixeIrwv/AHf98/zdkxHqGq8H4WfYFimSLzkxRrLiCpVaqoJ29Q4CABbMlZ5ZVu6+wRxD6q4pnKbGx0meDIULtjBZnyfhJBk7y/8TPKlFjyEqIR4d/3kG9t0/R3RGGtK/vQJRCfG4N3C/q+BmZRUGHW3i/DhxpmzkvP4j2Hf/HJ0fn0X6/yqWvCBI3aWHS6jKTE5ZCJMlSl2ohONLjX0B9C0zUicUdU3uvv22JvTbmvBFhe/arf22JjS+9BPEmrKQ8/o2n/f1rmu8HoQfA6kJICVJOpqf9XAykhNjcK3J95HW/25yt5T4m1VW7r5qj9HTN+T3CxUuUQnxfi7K6e7uuc/bfN4bdLhfE+5W/UlavNBrpmOXo1V8bF9Mq6VVfFLI89ipy5ai8+OzGHZ2+Ay0vTfgQlyAgCTUQlVmcssi1pQlpudJuODGmXyfxtK7zEidUNQ1ufv6O/bnB95FrCkLD5Y+LRkwGaGu8XoQfuzamwCWLc7y2+/87Op8ONp7fSY8s15shSkzyWvpgLGD/eTuq+QYAMTtpB6RDaeE/Dzc8zOWInXZUsl5jfptTZiWkeY1DkfOjMbCrMiekwBOS0+T7IqKftB91zw2iBLyIvXodriEqszkloUwKeLY/YXB/UlLFnm9boQyI3VCVdfk7BtnykZi/hyff1Pj4zAt/f42noxS13g9CD8GUhOAEOFLTaa2a/NSmDKTvCY8s15sxfm6Nry35ynxtYoTDVi7tQqv7D+neF+52wmER2TXrPiq0o+qKeGuVWryvhnmVZiWkeY1wV6frRH9tiZkbXpOfK3LegGfH3gX7RXH/R6ny3oB/bYmPLTe7NVVl/6/VuDegAsdp8+M2b4Wad/yfeTa1fK5O99fXyjvA4ZAqMpMblkk5s9BQn4evqiweF0IO06f9SlfwBhlRuqEqq7J3Vcpo9Q1Xg/Cj117E0DRkmzMz8vA+bo2ydW0/3z8u3hl/zm8sPMTpCTFwNHei+qjZq9tF859EMmJMT77y9lXyXYAcP5iG+bnZei+8ndi/hzxsXmpWYsfeWMn2iuOo/XQ+4hKjMddZydmv/4jr21jZ7mf0pPqUgLcM3HfqjyFh9abfdYKizNlY/brP8KtylPi3bB7TbGlPtsCQH9DE2JNWbquNB+qMlNSFqZtm3DTUoW28vfFwcMzSp+WXDTWCGVG6oTy+ylnX6WMUtd4PQi/KaOjo6N6Z4KAhoYGPProo+Lv1op/xtycB2Tvf63RiRd2fYI/H/9uKLKnqbxvHUXlL1dr8sX5zsu/x/X0PMxYt0bV/i5HK9rKP8Ajb+wMOi+e+myN6DztXg5GyYr0gVx/6ScwvbJJkxO1bcNWzH3nDUyNVT7AM1RlFgpallnLm+/A1dgMnjKVY11TpuXNd/DsggTsfukbqvafjNeD6/bbKFr/O/H3zz77DPPm+S6TEwrs2psg5s/JwPo18/xO8W8Uew7V4uVnCwxz9xFnykZq0VJ0WS9olqaQVtam52HatkmTIOqmpQrp316h+90uEJoyCwUjlRmpw7qmDq8H4cVAagLZ8swiXGt0GnaGWOFLveWZReNsGV7pK1fA5WiTNWhcjtSix5CYP0fW5H9yCBeR9JUrNElPC1qXmdaMWGakDuuaOrwehA8DqQnmre3LJZ+Y0FvLjR6YMpOwa7PvSu5GkLl+reSTPHobdnZgWkYaZphX6Z0VHywzChfWNXV4PQgPDjafgNavCU+/sBKzHk7GrIeT9c5GQFIDvPUWnZGuSddgqLDMKFxY19Th9SD02CJFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKX9E7AyTtV5arSEuJ0zsbhue40Yv+28249f/+oHdWIo7z5CeY8pUovbMRMe7e6sTo6Kje2YhIrGvK3L3Vif+62oufHv6T3lmJGJ3dLt2OzUDKoK785RbiYvnnGc/t3kHc7b+N/ut/0zsrEae/qRlTprJRWq7/6etHVGIComdk6J2ViOJqbkHnJ5/qnY2I8/lILC5cvqF3NiKGa/B/dDs2r9QG9c7rJZib84De2TC877z8e1xPz8OMdWv0zkpEsW3YilmvbMbU2Bi9sxIxWt58B3Ezs1jXFLJt2Kp3FiKS+VtzsPulb+idjYhx3X4bRet/p8uxeTtKREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECK0HKjR+8sBNRzZwhVnzbrnQ1DcDla9c5CyEzkzxYqIwMu9NZd0TsbRIa/joQSFy2exCpONODgscuYn5eB9/Y+JXufqk+bcfW6EwCwYG4G1q+Zh1WP5waVl2uNTpRssPh9//jbq4JKX2u9dVfQZa3FSP+A+FrsrGzMKF2FqPg4zY7TZb2A3rqrGOkfQOysbCQtXqBZ2nrT6rOF62+hF5ejFX/f/XO/78/c9qKqdIXyd7W4A9i4WdlILVqKpMULVaVHkUeL87ma60io8xRuDKQmIaHiO9p7AQDz8zLG3afnzhBe2PUJzte1eb1+vq4N5+vasGxxFiy/WK06T//+4SW/75kyk1C0JFt12lqz7z6AkQEXTNteRHRGOgB3y0Bb+ftofOknmP36jxBnCi6/HafP4FblKUyNj0Pmc2sn1MVNy88Wjr+F3jr+cMbve9My0pCYP0dRekL59NuavF7vtzWh39aEhPxamLZtUpVXigxanM/VXEdCnSe9MJCaZKwXW7Fw7oM4/vYq/OO6Y7L3K/3BSQDuliFTZhJ6+4Zxvq4Ne8prAbgr+55Dtdi1eaniPLXc6EHVuWYcf3sVUpNifd6fPye4L6iWWg+9j0FHG2a//iPxwg0AUfFxyNr0PBpf+gkcb5Vj7n/8VPUxHAfKv7yg5SFr0/MTolVFoOVnC8ffQm/Dzg7cqb+KmdteRFRCvM/7aoJEx1uHALhbsqIz0jAy4EK/rQm3Kk8BcAdUNy1VmGE2ViswaSfY87na60go86QnBlKTjGfLjikzSbybCKTiRAMAoPrXZq/X58/JwNPLc8Qv0sHfXlZVyQ8eu4xnV+cbqtXJnzv1VwFIX8Ci4uMQa8rCoKMNLker4ovcyIAL9t0HcNfZiVhT1oRqFQjFZwvl38IoOk6fRUrRUsWtTv50WS8AAHJe3+b1epzJ3bX6t9f+DQDQ+fFZBlITlBbnczXXkVDnSU8cbB7hhObVnjtDivdNToyRtV3Vp8341Z4nJd+b9XAytvzLIvH3a41ORXnouTOED0/aDNXq5M+ws0PyZ6043jqEu85OTI2Pg+mVzZqnryetP1uo/xZGMDLgQre1FnGmLM3S7K27iqxNz0m+F52RjrRvPSH+zsH/kUXutUDr87nc60g48xRuDKQi3IcnbNhTXouu3sGQHaNoSTZmPZzs9/1lS9Sf6IWxUa++acWMbx5Cyfcs2HOo1pBPgEQlJIg/f1HhOzB+ZMCFQUcbpsbHKW4B6Th9BoMO99iAzOfWTqjuvFB8tlD+LYyi4w81ANyfz7ZhK+y7D+CmpSqowDEhP8+rG9Tn/Xl5qtMmfcm9FoTyfK6WEfOkBAMpGteWZxaNv9GXTJlJitI++NvLXr9fa3Li4G8v4x/XHcMr+88pSivUouLjkFLkblbutzWh9dD7Xu+3lbt/93fHH4gwPgXAhBpYDoTms4Xyb2EUnR+f9fp90NGGzo/P4m+v/RvaK46rSjN95QrZ2wYKuChyhfJ8rpYR86QEx0hR0IT+8WWLs5A8XVkzb9PpDbhy/RYc7b04f7ENVefuzxf14UkbHO29hnpSI3P9Wtx1dqLf1oQ79Vdh330AD5Y+LQYLX33jXxVfgDznAZpeuAC9dVfQ8Z/3W3FiTVlI+FpeRI5ZCeVnC8Xfwkjm/MdP4Wr5HHednehraBLHhAFAt7UWd52dmo+ju+vsBOBuuZpIraIkXzDn81AxYp48sUWKgiZMlqnkrkKQPD0GRUuysX7NPLy39yk0nd6AXZvuDyYUntQwEtO2TZhe6J7zaNDRhs8PvAvAPYBXzYW7y3r/8w1+3oZhZyceLH0aWZueQ0rRUrEl4q+v7Y248UCh/mxa/y2MJCo+Don5c5Ba9BiyNz+POf/xUzxY+rT4vvB0nZZ669zBWtrKJ8bZkiaqYM7noWLEPHliIEVBabnRg/N1bZo9dZc8PQZbnlmE6qNmcRDj2O4/I8je/DymZaSJvw862sQ5jZQa/rIVAABM215E+soVSMyfg6TFC5G5fq044eJdZ6fkeCAjC8dn0/JvYWRR8XFIX7kCs1//EaZ+2Vo0tvsvGMPODvTbmjR9SpAii9bncy0YMU9jMZCioLz6phXz8zLw1vblmqY7f04GDuy4n6b1onGeIBp2dsC++wAS8vMwc9uL4kVt0NGGv+7Yo7hlRehOiTVlSbaiJObPEVtd+m1NEfU0Vag/m9Z/i0gQZ8pG5nNrxd/7bI2apPtFhQWxpixkrl87/sY0IYXqfB4MI+ZpLI6RigA9d4aQt/JowG38TYq2a9PSkDWHVpxogKO9F9VHzeNvrMKqx3ORnBiDnr4h9PYNh+QYSrkv3D9H3Kxs8YLzyL5daH//I9ypv4p7Ay44DryLR97YqThtqQkXBanLl4pjZAZbIm9epFB8tlD+LYwuafFCTI0/jnsDLtzToOWty3oBw85On/mlyFhCeS0I9flcDSPmSQoDqQjh70kFYRBecmIMUpJ8B+ElJUaHJD/Wi604eOwyjr+9KqSD/xbMzfBZMkBrrYfex92OTsn3HnpurdeF3XHgXdwbcOGh9fe/2FHxccje/DxuWqrQ+fFZ3HV2KpoZemp8HO4NuLzWihsr2qPraviWdF7DSW6ZhfKzheJvEWpK6tp44mZl+yzzokafrREdp8/CtO1FDjCPAKG4FoTrfK6EEfPkDwOpCJA8PQZ/Pv5dyfdKvmfBtSYn/ni0NOA8HFpqudGDV9+04vjbq8J2zFA+8jr4eZvYBTWWZwDQZ2sUJ5WU6qaaYV6Fwc/b3GuW/UX+BU64IA77yQPgPW9SVKL/1p1wkVtmofpsofpbhJrcclPCc3yYUsPODnxRYfFaq5CMKxTXAj3O5+MxYp4CYSBFirTc6MH3d/0xbBXc0d6L5MSYkM58LrfrR04XStLiBei3NSka6Czsc2/AhZEBl2SrwEh/v/hzrIYzXaslt8xC9dlC9bcINS27GYe/DCTVdvMOOzvQVv4Bg6hJLNznczmMmKfxcLA5ySZU8F/tedJvBe+5M6TZdAXXGp1wtPfi5WcLNEkvWMJFPtBFXBgLFDtTfrCTtOT+uIXei9JPKAotOlO/fCQ+UoTqs4XqbxEpXI5W3HV2Iv3b8ifY9CQEUVmbnvMbRI0MuDSfXoGMI9zn80jNkxyGCKRqampQUlKCKVOm+P2XmpqKwsJC7NixA3a73Wv/I0eOoLCw0Gv7kpKSgMe02+2SxywsLERlZWUoP65h9PQNef0fSMuNHqzdWoWdm/5J/H3sv6pPm1GywYI1K77qte/BY5cx45uHYP7hSa/X9xyqhfmHJ8U5Qsbatu8cli3OMszcIdEZ6eIFvOP0Gclt+r4cs5L89YU+73WcPgPbhq1wHCj3ej0qPk6cH6jj9FnJFpSuc+4Th+fTWpEg2M/mr8yC/VsY3U1LFRwHyr0mNPX0xQfHkZCf53emcn/lBriDKMeBd8W/y7Czw+dfb90V2HcfQFIElh2NL5jz+VhKriP+rgVa5yncDNG1V1xcjOLiYlRWVsJsvj9wtLm5GQ888ADsdjvq6uqwb98+7N+/H/v370dpaSksFve8M2VlZSgrK8P+/fuxY8cOAO7gbMeOHdi3b5/kMXNyclBdXY3u7m6kpqYCACwWC0pLS0P8aY2h586QODixuzfwF6DnzhCe3FCJnr4hrN0a+A51fl6GTzecsLL3+bo2tNzoEe80hPmhzte1YX5eBnZu+icsnPugexLO8lqsWp5ruJW+Ta9shn33AdyqPIWo+DikFj0mvtdx+gy6rbVI+9YTkkuhCJNTuscMdXi1BKSvXIFhZye6rbVwvHXIq6Wgy3oBd+qv+k3X6IL5bIHKLJi/hdEJ80P125oQazqDB0ufRtysmei3NeJm5SkkFS4IOIDeX7mNDLhg3/1z3BtwiZOX+hNryoq4p0NpfMGez8emJfc6Avi/FmiZJz0YIpASFBTc78LJyclBTk6O+HpBQQHKysqwceNGHDlyBJWVlSgsLER9fb24z/bt23H48GGxxWr//v1YsmRJwOAoJSUFpaWlqKysnBRBlPViK/67qUOs0IB7fbsXdn6ChV97EMsWZ/lU0pINFll3GwDw7Jp8n9e2PLMIe8v/hNVP5Ho11x5/exUOHruMq9eduNbkxPd3/RGmzCQsW5xl2P7xqPg4PPLGTnRZL6DLWouO02fFcT/T0tMw+/Uf+b34pK98wn0RXLJQsjslc/1aJC1egN66q3B8eZGLzkjD1Li4gOlGArWfLVCZBfO3MLqZ215E5+mzcLW0YtDRhrbyDxCdkYaEr+XJGtPkr9zsuw/Ini4htchYNzGkjWDP54C66wjg/1qgRZ70NGV0dHRU70wIPFuHcnJy0Nws3eWTm5srBktjW5Fyc3Nx+/ZtdHd3i681NzeLQZmUjRs3oqamxu/xwqGhoQGPPvqo+Lu14p8xN+cB3fITKb7z8u9xPT0PM9at0TsrEcW2YSvmvvMGpsYa+7FiI2l58x3EzcxiXVPItmGr3lmISBvXLcDul76hdzYixnX7bRSt/534+2effYZ58+aF5diGGCOlVHFxsfhzdXW1z/s//vGPvbYpKSnxCqzGSklJQUpKipZZJCIiokkgIgOp3Nxc8eexA88Bd2BksVjEVii73e419oqIiIhICxEZSHl2wfnrsktJSUF1dbXY0iQMPiciIiLSSkQGUnV1deLPgVqacnJyxCf7APfg88kytQERERGFXsQFUkeOHMGlS5cA3J82IZDi4mIcPnxY/N1sNov7ExEREQUjIgKp7u5uXLp0CWazGRs3bgTgDpA8W5sCEeaZEpjN5oCDz4mIiIjkMNQ8Up7sdjumTJni83ppaSnWrVuneM4nYX6pmpoacfC51BN/RESThcvRisGWViQtWSS5DiIRjc+wLVI5OTno6upCc3Mzurq6MDo6itHR0aBmH/d8km8iDz63XmxFzx15k5uFS8uNHlxrdOqdjYD6bI1+F7i9aanCsLMjzDlyL9/hcrSG/bhyBSozvRi9zAB9y01YQ++vr+3FXWenGERFQrmRcrwehJ5hW6QA7ed3Ep7kE6ZPEGY+n0gOHruMpMRoFC3xntH5lf3nxCn8e/qG8OarRbJnDpe7b6DtZj2cjD2HauFo78Wqx3N99tVbx+kziJJYNLfj9Bl0/OcZ3BtwKV53rL3iOEb6BgAA91wuPLTeLDkjdaDtojPScdNS5b7gGWypE39lJvdzjzUy4MLNSvfyEHednZiWkYbM9b7r7423nZHLDNCv3AB3C5TjrXIkfC0Pj7yx0+s9o5cbKcfrQXgYtkUqVIQ19gQTafD5wWOX0dUziPVrvGdz/fra36C7dwjv7X0K7+19ClueWYQnN1TKuiOQu6+c7XZtXgrrxVZYLxrrrrfj9BmM9A14rdUGuC86qUWPIW6W8mVG/vraXoz0DSB78/PI3vw80lY+Afvun/vc8cvZboZ5FfpsTeizNar7gCHgr8zkfu6xhp0d+OuOPUhavACZ69fCtG0TRvoGYN99wKvlRu52RiwzQL9yA9z1+e+7f464WdnI3vy8ZHpGLTdSjteD8JmQgdR4A8mLi4u9FjOuqakJcY5C71qjExUnGnwW+RWi/gM7louvFS3JhikzCS/s+iRgmnL3VXKMXZuW4vu7/miYpmaXoxVd1lrJBWDjTNmIio/DtIw0RWkKd/WZz68TX0vMn4PojDS0lX+geDsAmFG6Cm3lHxiiG81fmSn5PGPdtJxCVEK8VytN5vPrMOhoQ8cfahRvBxirzAB9yw2AmFbWpucDpmm0ciPleD0IrwkZSMmxfft2ryf5It22fed87jwA4MOTNpgyk5A83XtNtTUrvgpHe2/AuxC5+yo5RvL0GKx+Ihfb9p1T+hFD4osPjmu+OGvX+VpMy0jzGbybtGQh7jo7xVYGudsB7gV6k5YsRPv7H2maVzX8lZmSz+NpZMCFO/VXETszy+v1qPg4xJqy0PnxWUXbeb5ulDID9Cs3wN0SdtfZiemFC8YdVG60ciPleD0IL0MFUrdv35b8WQm73Y7Ozk5Z2x4+fBgFBQWqjmMk1outuNbkxLLF3ifUa41O9PQNYX6e7yrc/5DnHnvhuXq3mn3VHKNoSTaqzjWj5UaPjE8XOn22Rgw62pCQn6dZmi5HK+4NuHwubgAQa3K/1mWtlb2dp8T8PNypv6rLoHeBvzJT83kEwueJlmj5m5aeJh5X7naejFBmgL7l5plGdEYaHAfKYduwFX99bS9uWqok0zZKuZFyvB6En6ECKc+xSt3d3YrnehJmLT9y5Ijsfc6cORPxCxZXfepeMmf+HO/Ke+X6LQBASlKMzz6pSbEAAEd7r2SacvdVcwzhC37qnO86ieHUW3cVgLsLTyuDLe7Wg6jEeJ/3ohLcr911dsrezlPCl903Qr714K/M1HwegfD6iMu3K0lI766zU/Z2noxQZp7H16PcRgZc4rZRifHI2vQ8vvrGvyIhPw+dH5+F40C5z/5GKTdSjteD8DNEIFVTU4OSkhKf5V5mz54Ns9k87rIuR44c8dq/u7sbqampsibeTElJQX19PR544IGgPoOezte1ITnRt+L29g0DgOR7SYnRACA+VaF2XzXHEJp89R5k2G9rwlSN584RxpVExfmmK3SpjPQPyN5O6vV+W5N2GVbIX5mp+TwCYQyaEFR47ftleiMDLtnbSR1bzzITjq9XuQmtSrGmLKSvXIGo+DhEZ6Qjc/1axJqy0C8xuNwo5UbK8XoQfoaY/kDOUi+BjJ25XKmxT/JFmu7eIck7AKHiBtLTJ/3FkbtvMMfwd/cTLiP9A+Jdv1bkTGo4MuCSvZ2UYT8tFOHgr8yC+TxxpmxMjY/DoKPNp2yE1pao+DjZ20nRs8wAfctNCMSE7j5PqUVL8UWFBf0NTT7TMQD6lxspx+tB+BmiRYqC09M3JHkHYMpMEt8fK9Cdg5J91R4jOTHG791PuNyTGdAoIbQSSHW3iK0PHk8CjrfdWFM9Lox68Fdmaj+PYEbp0wAAx1uHxBaULusF9F684pW+3O086V1mgL7lJoyhuidxDOH4UgGTEcqNlOP1IPwM0SJFwUlOjJGsuEKllqqgXb2DAIAFc30HBSrZN5hjSN01hdPU+DjNH/EWLlrCxIqehItS7Kxs2dtJ0boVTQl/ZRbM5wGA1KLHEJUQj47/PAP77p8jOiMN6d9egaiEeNwbcImtJXK3G0vPMgP0LzfP9KSOLzVGC9C/3Eg5Xg/Cj4HUBJCSJB3Nz3o4GcmJMbjW5PtI6383ue9e/c0qK3dftcfo6Rvy+4UKl6iEeM3vuKMz0t3dLZ+3+bw36HC/lrR4geztxro34FI1QahW/JWZ2s/jKWnxQq8ZtV2OVvGRfTXbCfQuM0D/cos1ZYnpeRKCuziT71ODRig3Uo7Xg/Bj194EsGxxlt9+52dX58PR3usz4Zn1YitMmUleSweMHewnd18lxwAgbif1iGw4JeTn4Z4GLVJjB+qmLlsqPi3lqd/WhGkZafdbV2RuJxC2k3pUPlwClZmSzyNn5uxblacAwGuiSqXbGaHMAP3L7cEvuwDH7i8MVE9assjrdaOUGynH60H4MZCaAIQIX2oytV2bl8KUmeQ14Zn1YivO17XhvT1Pia9VnGjA2q1VeGX/OcX7yt1OIDwiu2bFV5V+VE0Jd/rjLcMh1e0i6LJewOcH3kV7xXHxtRnmVZiWkeY1oWGfrRH9tiZkbXpO8XYCV8vn7nwrXPNPS4HKTO7nkSqzsbqsF9Bva8JD680BxwiNt50RygzQv9wS8+cgIT8PX1RYvAK2jtNnJcvOKOVGyvF6EH7s2psAipZkY35eBs7XtfnMHQIAfz7+Xbyy/xxe2PkJUpJi4GjvRfVRs9e2C+c+iOTEGJ/95eyrZDsAOH+xDfPzMiTfC6fE/Dni499Sc0m5HK3o/fMV3Kl3z6Vzq/IUkhYv8FonLXaW+8mpsV0jj7yxE+0Vx9F66H1EJcbjrrMTs1//kc9x5G4HAP0NTYg1ZWk675VS45WZnM/jr8wEHafP4FblKTy03uyzJp3S7YxQZoAxys20bRNuWqrQVv6+1+B9qQWKjVJupByvB+E3ZXR0dFTvTBDQ0NCARx99VPzdWvHPmJsjf26ra41OvLDrE/z5+HdDkT1N5X3rKCp/uVqTL853Xv49rqfnYca6Nar2dzla0Vb+AR55Y2fQeQm16y/9BKZXNmlycbNt2Iq577yBqbHKB3iGqsz6bI3oPO1e1uSh9WZEZ6QHtR2gbZm1vPkO4mZmGa6uKSkPubSua6TcxnULsPulb6jadzJeD67bb6No/e/E3z/77DPMm+e7TE4osGtvgpg/JwPr18zzO8W/Uew5VIuXny0wzN1HnCkbqUVL0WW9oHdWArppqUL6t1cYooUgFGUmpJW16XmYtm3yGwzI3Q4wVpkB+pabEkYrN1KO14PwYiA1gWx5ZhGuNToNO0Os8KXe8syicbYMr/SVK+BytMkayKsH4WKZvnKFzjm5T+sySy16DIn5c8ad10vudkYsM0C/cpPLqOVGyvF6ED4MpCaYt7Yvl3xiQm8tN3pgykzCrs1L9c6KpMz1ayWfnNLbsLMD0zLSMMO8Su+s+GCZqcNyo3Dh9SA8ONh8Alq/Jjz9wkrMejgZsx5O1jsbAQUa2KyX6Ix0TbprQoVlpg7LjcKF14PQY4sUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqfUXvDJC0X1muIi0lTu9sGJ7jRi/6bzfj1v/7g95ZiTjOk59gylei9M5GxLh7qxP3BodY1ygs/uvqF/jp4T/pnY2I0dnt0u3YDKQMynKlB1Oj9asYkWKwaxhT+2+j//rf9M5KxOlvasaUqWyUlut/+vpxb3iYdU2F2NkzWdcUGGxtx5Xrt3Dl+i29s0IyMJAyqIe//13EPvyQ3tkwvJY330HczCzMWLdG76xEFNuGrZj1ymZMjY3ROysRg3VNHdY15VrefAeuxmaMjo7qnRWSgbcIRERERCoxkCIiIiJSiYEUERERkUoMpIiIiIhUYiBFREREpBIDKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSlxrj8iPLusF9NZdhaulFQAQNysbqUVLkbR44bj7dpw+g96LVwAAw85ORGekIbVoKVKLHgsqT6FKlyYul6MVcaZsvbNhaMPODkRnpOudDYpQDKQmud66K+iy1mKkf0B8LXZWNmaUrkJUfJzi9K6/9BPcG3DJ2jb/6NuK0w+HkQEX2srfR7+tyev1flsT+m1NSMivhWnbJr/7Ot46BAAwvbJZLMOO02fwRYUFvXVX/e47Xp5Cka7Wggk+ta6LApejFR1/OIN7Lne9HOkfQNKShUhfuUJ1mloLptz8pTXSP4DYWdlIWrxAs3z+9bW9iM5Ii/i65plGx+mziJ2ZhezNzxsiTxR5GEhNYvbdBzAy4IJp24vi3ZgQRDS+9BPMfv1Hiu5ke+uuyA6iphdqd3LXmhCwzNz2IqIz0jAy4EK/rQm3Kk8BcAdUNy1VmGFeJbnvoKMNs1//kdfFP33lCgw7O9FtrYXjQLniC1Go0tVKMMEnoH1dFHScPoNblafwYOnTYuA07OyAfffP0WWt9TqeHoItN0/CZ50aH4fM59ZqfvFuPfQ+7n7ZCqonLcpMCKDuOjsBALEzs3TPE0UuBlKTVOuh98ULs+eFJCo+DlmbnkfjSz+B461yzP2Pn8pOs8tai4T8PDxY+rTfi1OX9QJuVZ5C8tcXBvsRQqLLegEAkPP6Nq/X40zuO/u/vfZvAIDOj8/6BFJd1gsYdLRhWkaa5EU/feUT6LbWot/WhN66K7IvdKFKV0vBBJ+hqIuAO7C/VXkKCfl5Xq1P0RnpyNr0HD4/8C4cB97FI2/sVPORNRFMuXmlc6D8ywt2HrI2PR9UC56ULusF3Km/qmmaagVbZn22RsTOyoZp24vi91nvPFFk42DzSUo4KUpdmKPi4xBrysK9ARdcjlZZ6Q07OzDSPwDTtk2IM2UjKj5O8p9wx2bUpu7euqvI2vSc5HvRGelI+9YT4u9jy6bLWvvldtJ37NEZ6Zj25Xsd/3lGdp5Cla5WPIPPxPw5iM5IR5wpG+krV+Crb/yruF3nx2cl99e6LgraPzgOAEgtWurzXmL+HMSasnDX2YmO0+EvMyD4cgPcLSF/fW0v+m1NiDVlwbRtk+ZB1LCzAx2nzyJFohzDTYsyS8yfgzhTttf3Ru88UWRjIDUJDTs7JH8ORlRCAkyvbA64jXCXZuRuvYT8vIBdPQnz8vy+N+hoA4CAJ2ehC0HYVo5QpauVYILPUNRFwH1xE7qZE/LnSG6T8DX331KP4BMIrtwEjrcO4a6zE1Pj48b9/qnlOPAusjY9h6g4bQM0NbQoM09aBJ1a54kiDwOpSSgqIUH8+YsKi8/7IwMuDDraMDU+Tva4FKHFKZDei5cBwLDdegAUDUD2DLhGPMaGjfQNSG0OAIhKjBd/lnNSDVW6Wgom+AxFXQTcFzcAiDVl+a2XQr7uDbjQZ2uUnbZWgik3wD0mSgicM59bq3lLFODudk0tWmqYp/6CLbNQMGKeKLwYSE1CUfFxYjN9v60JrYfe93q/rdz9u7+7LLWELiqjduvJIQxOTcjP87pwef58t6PT7/6ed/WeT6f53T5E6WpJbfAJhK4uCl3I09L9t+J5dpXq0ZIXTLkBEMffAKH5TnVZL+Cey2WopxuDLbNQMGKeKLw42HySyly/Fnednei3NeFO/VXYdx/Ag6VPiyfnr77xr5p+6YWWhYT8yL47E1o60lY+4fNerCkLg442DDraMDLgkmwh8Gw5ikqI93lfSqjSDRd/wadA67ro2UXoWS5jebaGuf5uvC6XQOXWW3dF/Hl64QL01l1Bx3/eb6GKNWUh4Wt5qgc3C+Oixj50YXTj1TU9GDFPpC22SE1ipm2bxPFKg442fH7gXQDuQZNa3zkJAzKlBv5GimFnB/ptTUgpWopEiXE36d++f2d6s7JKMg3PC7bck2qo0g2XQMGnQMu66NkdGmhcj2c5CXNMGUmgchNadwFg8PM2DDs78WDp08ja9BxSipZi0NGGzo/P4q+v7VU19sxx4F08tN5suLo0Hjl1LdyMmCfSFgOpSS578/Neg5gHHW3inD5aEmbjjuRuvS8qLIg1ZSFz/VrJ95MWLxRb3LqttWivOO5+mvHLMTiOA+Xo/8v9eWbkBgihSjccxgs+PWlVFz27NgO1SPnbxwjGK7dh5/1uXtO2F5G+cgUS8+cgafFCZK5fi5nbXgTgbg2RGnsWSOuh95FUuGDcv5fRKKlr4WLEPJH2GEhNYu6JCQ8gIT8PM7e9iKlf3n0OOtrw1x17NHuKaiJ063VZL2DY2Tnuk1GmbZvwYOnTmBofh25rLf722r+h8aWfoPP0WTy03ixup/TJxVClG2rjBZ8CLeuiZ9dmoAH6/vYxgvHKTZxI0pQlGTgn5s8R60K/rUn2Awhd1gu429EZkfMdya1r4WTEPJH2OEZqkhJmd46blS1+yR/Ztwvt73+EO/VXcW/ApdlkhUbo1ms99L7fwdoPPbc24FNJfbZGdJw+C9O2F2V1daSvXIH0lSswMuDCSH+/eKHrszWKj+SnLldeFqFKN1SE4HO8cTZa10XPv9FIgC47z5auqQZ4tF8gt9yAwAFg6vKl4hxdgy3jr7c37OzAzcpTeGTfLmUZNgAlZRYuRswThQYDqQlESbDgOPAu7g24vFozouLjkL35edy0VKHzY/fyCVrMxmuEbr3Bz9vEu/ixAnXrDDs78EWFRdVSImOnhOg87Z6QL9aUFVQzf6jSHStcwafWdTE6Ix1T4+Nwb8AVsEVqpL9f/DlutnaP94ej3MTPF6Duej6VOHzL/xOfgpsW9+B+YZbusYTuxH5bE+y7DwBwr4WoRWtLOG90wsGIeaLQYSA1gcgNFvpsjeIkflLBwQzzKgx+3uZeJ+ovTT7vKzHs7DBEt56alrVhZwfayj/QZD22LusF8ZF8LaeVCFW6QHiCz1DVxbhZ2ei3NQWcMsJznJGW9TMc5SZ8vmE/xwG8n0qUO1bs3pfd8OMRttGqS1SPG51QMWKeKLQYSE0gcoMFOQsLJy1egH5bU9CDzoUnViLtaT0hiMra9Jzfk+HIgAsdf6gZt5XE5WgVB/w+tN6s2ck1VOkKwhF8hqouCvsECgr6G9yBmdLJPscTjnITPt+9AZffKTE8W9xiTeMvypu9+fmA7wuLIifk52m+AK/eNzpaMWKeKPQ42HwSEk6qgS5iwp1msKuiR+IknMPODjgOvIsHS58Wfx/7r7fuCuy7DyBpnFna+2yNcLxVDsDdYpRa9JjfbTtOn4Ftw1Y4DpSPm0cl6YaL3ODzpuX+FA6hqoupRY+JA9b9zVoutHB5Ti+hBzXllrRkkfizsGKAb7ruFp6p8XET7okxNWU2GfNE4WG4FqkjR47AYrGgpqZG8b4FBQX48Y9/DLPZPP7GAYyOjga1v9FFZ6SLkzx2nD4jOTNv35fdRVLLuci9Mx12duCus1P3bj0lRgZcsO/+Oe4NuMS5jPyJNWUFbMkQxvfEmrLGHecB3A863V02HX5PxkrTDQch+BTGOUk9ZTfoaMPNylNeXZChrIszSp/GFxUWdJ4+6xNIuBytGHS0YVpGmq4zd6stt6j4OHHS0o7TZ5G0ZJFPq1TXOXd9ynzOdwxTKFuXQk1tmUkRWjnlzCMWqMy0zBNFHsMFUmVlZSgrK8ORI0ewceNG8fXm5mY88MADXtvevn0b3d3dqKmpwY4dO8TXACAlJQU//vGPUVBQgAceeAApKSnYuHGjGKDt27cPxcXF4j7V1dXYv38/AKC7uxspKSmh/qi6Mr2yGfbdB3Cr8hSi4uO8WjQ6Tp9Bt7UWad96QrIlSe4FPxK79ey7D8jqbgKkP1efrRG9dVfRe/EKojPSMHPbi7JbA9JXPoGblaeQtGShT5kGk26oBRt8hqouphY9BpejDd3WWq8gbWTABcdb5ZiWkQbTl/Mt6SHYcktfuQLDzk50W2vheOuQV0tIl/UC7tRfDfo7bDRa3uiMDLjEcVly5hHzV2Za5okik+ECKYEQ5ABATk4OcnJyfLYRgp2CggIAwEcffSS+V19f77OP5+85OTnifsLxlixZArPZjNu3b0/4QCoqPg6PvLETXdYL6LLWouP0WfGOdlp6Gma//iO/X/hAF3xPwoknwSAXfDmCme5BaIFLX/mEqieZUosek+yiCzbdUAs2+AxlXcxcvxZJixeg61yt2GU60j+A1GVLdZ8rKdhyA+5/vt66q3B8eRGPzkjD1Lg4Tb7DRqNFmfXZGjHoaPOeHd7RhtZD7yNudjYS8vMky81fmWmRJ4pshg2klCorK8Phw4fR3d2NsrIyycBrPKWlpRM+gBrL38Vbi320mIMqkkRnpCO6SPuLUqjS1YpWf+dQ1cXE/DmGab3zpFW5qfl8aspamMdMT1qUmVBeSj+LvzKbbOc58mXYweZju/HGk5KSAovFgpSUlKDGSJWVlanel4iIiCaXCdMiBbi7+Dy769TYt2+fRrkhIiKiic6wLVJKFBYW6p0FIiIimoQiPpDq7u6G3W7XOxtEREQ0CUV0IGW324OeM4qIiIhIrYgYI2W32zFlyhS/70+2J+2IiIjIGCIikMrJyUF1dbXXa93d3bh9+zZ27NjBrj0iIiLSRcR07QmTcgr/CgoKUFxcjDNnzuidNcPpszX6XeD1pqVKcvmCUBt2dsDlaA37cZVguSnHMlOH5aYcy4yMKiJapAJJSUnhlAUeOk6fQZTEIqUdp8+g4z/P4N6Aa9yFdsdqrziOkT73Egr3XC48tN4sORtyoO2iM9Jx01KFu85OQy5gzHJTjmWmDstNOZYZGVnEtEgFwkk03TpOn8FI34DP7LsuRytSix5D3Czlazz99bW9GOkbQPbm55G9+XmkrXwC9t0/97kLk7PdDPMq9Nma0GdrVPcBQ4TlphzLTB2Wm3IsMzK6CRFIkfuk0mWtlVw/LM6Ujaj4OEzLSFOUpnCnlfn8OvG1xPw5iM5IQ1v5B4q3A4AZpavQVv6B3yb6cGO5KccyU4flphzLjCKBYQOp27dvR0SaRvHFB8c1XxCz63wtpmWkiQvICpKWLMRdZ6d4VyZ3O8C9QG3SkoVof/8jGAHLTTmWmTosN+VYZhQJDBtIkXzCauYJ+XmapelytOLegAuxM7N83os1uV/rstbK3s5TYn4e7tRf1WVwqCeWm3IsM3VYbsqxzChSGDaQqqmpEX+22+3o7u7WNM2x0ylEst66qwDcTd1aGWxx321FJcb7vBeV4H7trrNT9naeEr4cMCrkWy8sN+VYZuqw3JRjmVGkMFwgdeTIEZSUlGDjxo1er8+ePRtms9krGJLj0qVLMJvNyM3N9QrGjhw5gsLCQpjNZk2CND3125owdUzzc7CEvv6oON90habukf4B2dtJvd5va9Iuwyqw3JRjmanDclOOZUaRwnDTH5SVlWn6FF5BQQEsFotm6RnRSP+AeJeklbHjAiSPO+CSvZ2U4TF3dOHGclOOZaYOy005lhlFCsO1SJFy92R+8ZUQnoQZcfmeLMS7NY8nZsbbbqyp8XE+d3ThxnJTjmWmDstNOZYZRQoGUhPA1Pg4zR+7jRZOJH2+JwXhRBE7K1v2dlK0vttUiuWmHMtMHZabciwzihQMpCaAqIR4ze+CojPSMTU+DoOft/m8N+hwv5a0eIHs7ca6N+AST1Z6YbkpxzJTh+WmHMuMIgUDqQkgIT8P9zS4cxs7M2/qsqW46+z0uSvstzVhWkaauFyD3O0EwnZSjxaHE8tNOZaZOiw35VhmFCkYSE0Awp3ReItnSjVTC7qsF/D5gXfRXnFcfG2GeRWmZaR5TTLXZ2tEv60JWZueU7ydwNXyuTvfCtfG0hrLTTmWmTosN+VYZhQpDPfUHimXmD8HsaYs9NuaJOdccTla0fvnK7hT757f5FblKSQtXuC1dlXsrGxMjY9DnMn7buqRN3aiveI4Wg+9j6jEeNx1dmL26z/yOY7c7QCgv6EJsaYsTeeHUYPlphzLTB2Wm3IsM4oUU0ZHR0f1zgQBDQ0NePTRR8Xfc3ZvR+zDD8ne3+VoRVv5B3jkjZ2hyJ6mrr/0E5he2aTJCaflzXcQNzMLM9atUbX/ZC0324atmPvOG5gaG6N438laZqxr6rCuKdfy5jtwNTaDl2f1PvvsM8ybNy8sx2LX3gQRZ8pGatFSdFkv6J2VgG5aqpD+7RWGuWtjuSnHMlOH5aYcy4wiAQOpCSR95Qq4HG0+gyuNQjgZpq9coXNOvLHclGOZqcNyU45lRkbHQGqCyVy/VvJJE70NOzswLSMNM8yr9M6KJJabciwzdVhuyrHMyMg42HwC8hxsaRTRGemIzkjXOxsBsdyUY5mpw3JTjmVGRsUWKSIiIiKVGEgRERERqcRAioiIiEglBlJEREREKjGQIiIiIlKJgRQRERGRSgykiIiIiFRiIEVERESkEgMpIiIiIpUYSBERERGpxECKiIiISCUGUkREREQqMZAiIiIiUomBFBEREZFKX9E7A+Q2NDTk9fvwrQ6dchJZ7g0N4X/6+jF44wu9sxJxhtpvYkrMNL2zETFY19RjXVPm3tAQRkdH9c5GRBt7TQ2lKaP8axnCiRMn8L//9//WOxtEREQR7/e//z3WrFkTlmOxa4+IiIhIJQZSRERERCqxa88guru7YbVaxd+zs7MRExOjY46IiIgiw9DQEFpbW8Xfi4qKkJKSEpZjM5AiIiIiUolde///dutYAAAAAGCQv/UcdhdFAACTSAEATCIFADCJFADAJFIAAJNIAQBMIgUAMIkUAMAkUgAAk0gBAEwiBQAwiRQAwCRSAACTSAEATCIFADCJFADAJFIAAJNIAQBMIgUAMIkUAMAkUgAAk0gBAEwiBQAwiRQAwCRSAACTSAEATAEQ602jlaTdrgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(2,2), dpi=300)\n",
    "\n",
    "\n",
    "# inputs = glob.glob('table2-results/cb-inv*/best_model_scores.csv')\n",
    "inputs = [\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_true_finetune-mode_in-context/best_model_scores.csv',\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_true_finetune-mode_bitfit/best_model_scores.csv',\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_false_finetune-mode_bitfit-no-trigger/best_model_scores.csv',\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_true_finetune-mode_all/best_model_scores.csv',\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_false_finetune-mode_all-no-trigger/best_model_scores.csv',\n",
    "    'table-results/mnli-inv_model_roberta_initial-trigger_false_finetune-mode_cls/best_model_scores.csv',\n",
    "]\n",
    "\n",
    "shortlabs = [\n",
    "    'IC',\n",
    "    'BF',\n",
    "    'BN',\n",
    "    'PF',\n",
    "    'PN',\n",
    "    'FT'\n",
    "]\n",
    "\n",
    "plot_wins(\n",
    "    ax,\n",
    "    p_cutoff=0.025,\n",
    "    inputs=inputs,\n",
    "    shortlabs=shortlabs,\n",
    "    key='accuracy'\n",
    ")\n",
    "\n",
    "plt.savefig('fig/pairwise-comparisons.svg', bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32a818be",
   "metadata": {},
   "source": [
    "# Bar Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "802a4d97",
   "metadata": {},
   "outputs": [],
   "source": [
    "ROOT_DIR = 'crossval-results'\n",
    "RESULTS_FILE = 'best_model_scores.csv'\n",
    "NCOL = 2\n",
    "MODEL_NAMES = {\n",
    "    'roberta': 'RoBERTa (Large)',\n",
    "    'albert': 'ALBERT (XXLarge-V2)'\n",
    "}\n",
    "\n",
    "\n",
    "def load_ablations(dataset, model, ablation_dirs):\n",
    "    dfs = []\n",
    "    for key, directory in ablation_dirs.items():\n",
    "        directory = directory.format(\n",
    "            dataset=dataset,\n",
    "            model=model,\n",
    "        )\n",
    "        path = os.path.join(ROOT_DIR, directory, RESULTS_FILE)\n",
    "        try:\n",
    "            df = pd.read_csv(path)\n",
    "        except:\n",
    "            print(f'There is a problem at: {path}')\n",
    "            continue\n",
    "        df['key'] = key\n",
    "        df['dataset'] = dataset_name_map[dataset]\n",
    "        metric = 'f1' if 'f1' in df else 'accuracy'\n",
    "        df['metric'] = 100 * df[metric]\n",
    "        dfs.append(df)\n",
    "    df = pd.concat(dfs)\n",
    "    return df\n",
    "\n",
    "\n",
    "# def _resort(x):\n",
    "#     div = len(x) // NCOL\n",
    "#     indexes = []\n",
    "#     for j in range(NCOL):\n",
    "#         for i in range(div):\n",
    "#             indexes.append(NCOL * i + j + 1) \n",
    "#     indexed = list(zip(indexes, x))\n",
    "#     resorted = sorted(indexed, key=lambda x: x[0])\n",
    "#     print(resorted)\n",
    "#     return [x[1] for x in resorted]\n",
    "\n",
    "\n",
    "def plot_ablations(ax, datasets, model, ablation_dirs, legend=False, title=True):\n",
    "    df = pd.concat(load_ablations(dataset, model, ablation_dirs) for dataset in datasets)\n",
    "    sns.barplot(\n",
    "        data=df,\n",
    "        x='dataset',\n",
    "        y='metric',\n",
    "        hue='key',\n",
    "        ax=ax,\n",
    "        errcolor='k',\n",
    "        errwidth=1.0\n",
    "    )\n",
    "    \n",
    "    # Make pretty\n",
    "    if title:\n",
    "        ax.set_title(MODEL_NAMES[model])\n",
    "    ax.set_yticks([0, 25, 50, 75, 100])\n",
    "    sns.despine(ax=ax, top=True, right=True)\n",
    "    ax.tick_params(bottom=False)\n",
    "    ax.set_xlabel('')\n",
    "    ax.tick_params(axis='x', labelrotation = 45)\n",
    "    ax.set_ylabel('')\n",
    "    \n",
    "#     if legend:\n",
    "#         # Make legend read left-to-right before top-to-bottom.\n",
    "# #         handles, labels = ax.get_legend_handles_labels()\n",
    "# #         handles = _resort(handles)\n",
    "# #         labels = _resort(labels)\n",
    "#         legend = ax.legend(\n",
    "# #             handles,\n",
    "# #             labels,\n",
    "#             fontsize=TINY,\n",
    "#             loc='upper center',\n",
    "#             ncol=NCOL,\n",
    "#             bbox_to_anchor=(0.5, -0.75))\n",
    "#         frame = legend.get_frame()\n",
    "#         frame.set_linewidth(0.0)\n",
    "#     else:\n",
    "    ax.get_legend().remove()\n",
    "        \n",
    "        \n",
    "def plot_wins(ax, datasets, model, ablation_dirs, p_cutoff=0.025):\n",
    "    df = pd.concat(load_ablations(dataset, model, ablation_dirs) for dataset in datasets)\n",
    "    out_df = pd.DataFrame({'key': df.key.unique()})\n",
    "    out_df['wins'] = 0\n",
    "    n = len(out_df)\n",
    "    for dataset, group in df.groupby('dataset'):\n",
    "        p_values = np.zeros((n, n))\n",
    "        for i, source in enumerate(group.key.unique()):\n",
    "            for j, target in enumerate(group.key.unique()):\n",
    "                source_metric = (group[group.key==source]['metric']).to_numpy()\n",
    "                target_metric = (group[group.key==target]['metric']).to_numpy()\n",
    "                _, p_value = scipy.stats.ttest_ind(\n",
    "                    source_metric,\n",
    "                    target_metric,\n",
    "                    alternative='greater',\n",
    "                    equal_var=False\n",
    "                )\n",
    "                p_values[i][j] = p_value\n",
    "        signif = (p_values < p_cutoff).sum(axis=-1)   \n",
    "        best = np.max(signif)\n",
    "        for i, key in enumerate(group.key.unique()):\n",
    "            if signif[i] == best:\n",
    "                out_df.loc[out_df['key'] == key, 'wins'] +=1\n",
    "    sns.barplot(\n",
    "        data=out_df,\n",
    "        x='key',\n",
    "        y='wins',\n",
    "        ax=ax,\n",
    "        errcolor='k',\n",
    "        errwidth=1.0\n",
    "    )\n",
    "    sns.despine(ax=ax, top=True, left=True, right=False)\n",
    "    ax.tick_params(bottom=False)\n",
    "    ax.set_xlabel('\\# Wins')\n",
    "    ax.set_xticks([])\n",
    "    ax.set_ylabel('')\n",
    "    ax.yaxis.get_major_locator().set_params(integer=True)\n",
    "    ax.yaxis.set_label_position(\"right\")\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "6c630aea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x750 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Need more colors for 4-bar plot\n",
    "colors = [\n",
    "    \"#4A465D\",\n",
    "    \"#335F70\",\n",
    "    \"#2a9d8f\",\n",
    "    \"#e9c46a\",\n",
    "    \"#f4a261\",\n",
    "    \"#e76f51\",\n",
    "    \"#CC3363\"\n",
    "]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "\n",
    "\n",
    "# Primary approach for plot\n",
    "datasets = [\n",
    "    'boolq',\n",
    "    'cb-inv',\n",
    "    'mnli-inv',\n",
    "    'mnli-mm-inv',\n",
    "    'mrpc',\n",
    "    'qnli',\n",
    "    'qqp',\n",
    "    'rte-inv',\n",
    "    'sst-2'\n",
    "]\n",
    "\n",
    "ablation_dirs = {\n",
    "    'Manual Prompt (Prior)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all',\n",
    "    'Manual Prompt (w/out Tuning)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all-var1',\n",
    "#     'In-Context': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all-ic',\n",
    "    'Prompt Tuning': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_all',\n",
    "    'Null Pattern': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_all-no-trigger',\n",
    "    'Null Verbalizer': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all-random-labels',\n",
    "    'Null Pattern + Verbalizer': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_all-no-trigger-random-labels',\n",
    "    '[CLS] Finetuning': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_cls',\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots(2, 2, figsize=(7,2.5), dpi=300, gridspec_kw={\"width_ratios\":[6,1]})\n",
    "\n",
    "plot_ablations(ax[0,0], datasets, 'roberta', ablation_dirs)\n",
    "plot_wins(ax[0,1], datasets, 'roberta', ablation_dirs)\n",
    "plot_ablations(ax[1,0], datasets, 'albert', ablation_dirs)\n",
    "plot_wins(ax[1,1], datasets, 'albert', ablation_dirs)\n",
    "\n",
    "handles, labels = ax[0,0].get_legend_handles_labels()\n",
    "legend = fig.legend(\n",
    "    handles,\n",
    "    labels,\n",
    "    fontsize=TINY,\n",
    "    loc='upper center',\n",
    "    ncol=4,\n",
    "    bbox_to_anchor=(0.5, -.05))\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(0.0)\n",
    "plt.subplots_adjust(hspace=1.2, wspace=0.075)\n",
    "\n",
    "plt.savefig('fig/ablations-both-models-2-col.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "c1ed3675",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rlogan/miniconda3/envs/autoprompt/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3622: RuntimeWarning: Degrees of freedom <= 0 for slice\n",
      "  **kwargs)\n",
      "/home/rlogan/miniconda3/envs/autoprompt/lib/python3.7/site-packages/numpy/core/_methods.py:226: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  ret = ret.dtype.type(ret / rcount)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x375 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datasets = [\n",
    "    'boolq',\n",
    "    'cb-inv',\n",
    "    'mnli-inv',\n",
    "    'mnli-mm-inv',\n",
    "    'mrpc',\n",
    "    'qnli',\n",
    "    'qqp',\n",
    "    'rte-inv',\n",
    "    'sst-2'\n",
    "]\n",
    "\n",
    "ablation_dirs = {\n",
    "    'Full': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all',\n",
    "    'Rand. Mask': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all-random-masks',\n",
    "    'Null Patt.': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_all-no-trigger',\n",
    "    'Null Verb.': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all-random-labels',\n",
    "}\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(7,1.25), dpi=300, gridspec_kw={\"width_ratios\":[6,1]})\n",
    "\n",
    "\n",
    "plot_ablations(ax[0], datasets, 'roberta', ablation_dirs)\n",
    "plot_wins(ax[1], datasets, 'roberta', ablation_dirs)\n",
    "\n",
    "legend = ax[0].legend(\n",
    "    fontsize=TINY,\n",
    "    loc='upper center',\n",
    "    ncol=4,\n",
    "    bbox_to_anchor=(0.5, -.5))\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(0.0)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.05)\n",
    "\n",
    "\n",
    "plt.savefig('fig/ablations-alt-2-col.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "7b6d2a20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x375 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Need more colors for 6-bar plot\n",
    "colors = [\n",
    "#     \"#4A465D\",\n",
    "    \"#335F70\",\n",
    "    \"#2a9d8f\",\n",
    "    \"#e9c46a\",\n",
    "    \"#f4a261\",\n",
    "    \"#e76f51\",\n",
    "    \"#CC3363\"\n",
    "]\n",
    "sns.set_palette(sns.color_palette(colors))\n",
    "\n",
    "datasets = [\n",
    "    'boolq',\n",
    "    'cb-inv',\n",
    "    'mnli-inv',\n",
    "    'mnli-mm-inv',\n",
    "    'mrpc',\n",
    "    'qnli',\n",
    "    'qqp',\n",
    "    'rte-inv',\n",
    "    'sst-2'\n",
    "]\n",
    "\n",
    "\n",
    "ablation_dirs = {\n",
    "    'In-Context': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_in-context',\n",
    "    'AutoPrompt': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_discrete',\n",
    "    'Prompt Tuning (Short)': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_triggers',\n",
    "    'Prompt Tuning (Long)': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_triggers-20-token',\n",
    "#     'Prompt + LM Head Tuning': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_partial',\n",
    "    'Prompt-Based Finetuning (Null Patt.)': '{dataset}_model_{model}_initial-trigger_false_finetune-mode_all-no-trigger',\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(7,1.25), dpi=300, gridspec_kw={\"width_ratios\":[6,1]})\n",
    "\n",
    "\n",
    "plot_ablations(ax[0], datasets, 'roberta', ablation_dirs, title=False)\n",
    "plot_wins(ax[1], datasets, 'roberta', ablation_dirs)\n",
    "\n",
    "handles, labels = ax[0].get_legend_handles_labels()\n",
    "legend = fig.legend(\n",
    "    fontsize=TINY,\n",
    "    loc='upper center',\n",
    "    ncol=3,\n",
    "    bbox_to_anchor=(0.5, -.25))\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(0.0)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.05)\n",
    "\n",
    "\n",
    "plt.savefig('fig/prompt-tuning-2-col.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "5eae258d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2100x375 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Need more colors for 6-bar plot\n",
    "# colors = [\n",
    "#     \"#2A2537\",\n",
    "#     \"#264653\",\n",
    "#     \"#2a9d8f\",\n",
    "#     \"#e9c46a\",\n",
    "#     \"#f4a261\",\n",
    "#     \"#e76f51\"\n",
    "# ]\n",
    "# sns.set_palette(sns.color_palette(colors))\n",
    "\n",
    "datasets = [\n",
    "    'boolq',\n",
    "    'cb-inv',\n",
    "    'mnli-inv',\n",
    "    'mnli-mm-inv',\n",
    "    'mrpc',\n",
    "    'qnli',\n",
    "    'qqp',\n",
    "    'rte',\n",
    "    'sst-2'\n",
    "]\n",
    "\n",
    "\n",
    "ablation_dirs = {\n",
    "    r'Prompt Tuning + Calibration ($\\approx$1K Params)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_calibration',\n",
    "    r'Prompt Tuning + LM Head Tuning ($\\approx$10K Params)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_partial',\n",
    "    r'BitFit ($\\approx$100K Params)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_bitfit',\n",
    "    r'Adapters ($\\approx$10M Params)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_adapter+trigger',\n",
    "    r'Prompt-Based Finetuning ($\\approx$100M Params)': '{dataset}_model_{model}_initial-trigger_true_finetune-mode_all',\n",
    "}\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(7,1.25), dpi=300, gridspec_kw={\"width_ratios\":[6,1]})\n",
    "\n",
    "\n",
    "plot_ablations(ax[0], datasets, 'roberta', ablation_dirs, title=False)\n",
    "plot_wins(ax[1], datasets, 'roberta', ablation_dirs)\n",
    "\n",
    "handles, labels = ax[0].get_legend_handles_labels()\n",
    "legend = fig.legend(\n",
    "    fontsize=TINY,\n",
    "    loc='upper center',\n",
    "    ncol=3,\n",
    "    bbox_to_anchor=(0.5, -.25))\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(0.0)\n",
    "\n",
    "plt.subplots_adjust(wspace=0.025)\n",
    "\n",
    "\n",
    "\n",
    "plt.savefig('fig/parameter-efficient-tuning-2-col.pdf', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5059852",
   "metadata": {},
   "source": [
    "## Hook Fig?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e93ee5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "##### For reference\n",
    "colors = [\n",
    "    \"#264653\",\n",
    "    \"#2a9d8f\",\n",
    "    \"#e9c46a\",\n",
    "    \"#f4a261\",\n",
    "    \"#e76f51\"\n",
    "]\n",
    "\n",
    "fig, ax = plt.subplots(3, 1, figsize=(2.2, 2.0), dpi=300, sharex=True)\n",
    "\n",
    "x = np.arange(3)\n",
    "params = np.array([1.75e11, 2.23e8, 3.35e8])\n",
    "finetuned = np.array([0.0, 100, 0.09])\n",
    "cb = np.array([51.2, 90.6, 90.6])\n",
    "qqp = np.array([55.6, 62.9, 65.1])\n",
    "\n",
    "\n",
    "def log_format(y, pos):\n",
    "    # Find the number of decimal places required\n",
    "    decimalplaces = int(np.maximum(-np.log10(y),0))     # =0 for numbers >=1\n",
    "    # Insert that number into a format string\n",
    "    formatstring = '{{:.{:1d}f}}'.format(decimalplaces)\n",
    "    # Return the formatted tick label\n",
    "    return formatstring.format(y)\n",
    "\n",
    "# ax[0].bar(x, params, color=colors[1:4])\n",
    "# ax[0].set_ylim(1e6, 1e12)\n",
    "# ax[0].set_yscale('log')\n",
    "# ax[0].set_title('Number of Parameters')\n",
    "# ax[0].xaxis.set_visible(False)\n",
    "# ax[0].set_yticks([1e6, 1e9, 1e12])\n",
    "# ax[0].yaxis.set_major_formatter(mpl.ticker.FuncFormatter(log_format))\n",
    "\n",
    "sns.despine(ax=ax[0])\n",
    "\n",
    "def log_perc_format(y, pos):\n",
    "    # Find the number of decimal places required\n",
    "    decimalplaces = int(np.maximum(-np.log10(y),0))     # =0 for numbers >=1\n",
    "    # Insert that number into a format string\n",
    "    formatstring = '{{:.{:1d}f}}\\%'.format(decimalplaces)\n",
    "    # Return the formatted tick label\n",
    "    return formatstring.format(y)\n",
    "\n",
    "ax[0].bar(x, finetuned, color=colors[:3])\n",
    "for i, p in enumerate(ax[0].patches):\n",
    "    width = p.get_width()\n",
    "    if i == 0:\n",
    "        y = 0.0\n",
    "        height = 0.1\n",
    "    else:\n",
    "        y = p.get_y()\n",
    "        height = p.get_height()\n",
    "    ax[0].annotate(\n",
    "        f'{finetuned[i]:.1f}',\n",
    "        (p.get_x() + 0.5 * width, y + height * (1.25)),\n",
    "        fontsize=TINY,\n",
    "        ha='center'\n",
    "    )\n",
    "ax[0].set_yscale('log')\n",
    "ax[0].set_title('Finetuned Params', pad=7, fontsize=8)\n",
    "# ax[0].set_ylabel('Tuned\\nParams', fontsize=TINY)\n",
    "ax[0].set_yticks([1e2, 1e1, 1e0, 1e-1])\n",
    "ax[0].yaxis.set_major_formatter(mpl.ticker.FuncFormatter(log_perc_format))\n",
    "ax[0].xaxis.set_visible(False)\n",
    "sns.despine(ax=ax[1])\n",
    "\n",
    "rect = ax[1].bar(x, cb, color=colors[:3])\n",
    "ax[1].bar_label(rect, fontsize=TINY)\n",
    "ax[1].set_title('CB ($F_1$)', pad=7, fontsize=8)\n",
    "# ax[1].set_ylabel('CB\\n$F_1$', fontsize=TINY)\n",
    "ax[1].set_ylim(0, 100)\n",
    "ax[1].tick_params(bottom=False)\n",
    "ax[1].set_yticks([0, 50, 100])\n",
    "ax[1].set_xticks([0,1,2])\n",
    "sns.despine(ax=ax[2])\n",
    "\n",
    "rect = ax[2].bar(x, qqp, color=colors[:3])\n",
    "ax[2].bar_label(rect, fontsize=TINY)\n",
    "ax[2].set_title('QQP ($F_1$)', pad=7, fontsize=8)\n",
    "# ax[2].set_ylabel('QQP\\n$F_1$', fontsize=TINY)\n",
    "ax[2].set_ylim(0, 75)\n",
    "ax[2].tick_params(bottom=False)\n",
    "ax[2].set_yticks([0, 25, 50, 75])\n",
    "ax[2].set_xticks([0,1,2])\n",
    "ax[2].set_xticklabels(['In-Context', 'Prompt-Based\\nFinetuning', 'Ours'])\n",
    "sns.despine(ax=ax[2])\n",
    "\n",
    "# from matplotlib.lines import Line2D\n",
    "# custom_lines = [Line2D([0], [0], color=colors[0], lw=4),\n",
    "#                 Line2D([0], [0], color=colors[1], lw=4),\n",
    "#                 Line2D([0], [0], color=colors[2], lw=4)]\n",
    "# legend = fig.legend(\n",
    "#     custom_lines,\n",
    "#     ['In-Context', 'Prompt-Based\\nFinetuning', 'Ours'],\n",
    "#     loc='center',\n",
    "#     bbox_to_anchor=(0.5,0.0),\n",
    "#     fontsize=TINY,\n",
    "#     ncol=3\n",
    "# )\n",
    "# frame = legend.get_frame()\n",
    "# frame.set_linewidth(0.0)\n",
    "\n",
    "plt.subplots_adjust(hspace=1.0)\n",
    "plt.savefig('fig/hook-left.pdf', bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
